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MXNet API for R
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Table Of Contents
  • MXNet API for R
    • NDArray
      • dim.MXNDArray
      • is.mx.ndarray
      • length.MXNDArray
      • mx.nd.shape.array
      • mx.nd.size.array
      • print.MXNDArray
      • mx.nd.array
      • mx.nd.one.hot
      • mx.nd.ones
      • mx.nd.ones.like
      • mx.nd.zeros
      • mx.nd.zeros.like
      • Ops.MXNDArray
      • as.array.MXNDArray
      • as.matrix.MXNDArray
      • mx.nd.Cast
      • mx.nd.amp.cast
      • mx.nd.cast.storage
      • mx.nd.copyto
      • mx.nd.load
      • mx.nd.save
      • mx.nd.Concat
      • mx.nd.Reshape
      • mx.nd.flatten
      • mx.nd.reshape.like
      • mx.nd.scatter.nd
      • mx.nd.split
      • mx.nd.squeeze
      • mx.nd.stack
      • mx.nd.GridGenerator
      • mx.nd.UpSampling
      • mx.nd.broadcast.add
      • mx.nd.broadcast.axes
      • mx.nd.broadcast.axis
      • mx.nd.broadcast.div
      • mx.nd.broadcast.equal
      • mx.nd.broadcast.greater
      • mx.nd.broadcast.greater.equal
      • mx.nd.broadcast.hypot
      • mx.nd.broadcast.lesser
      • mx.nd.broadcast.lesser.equal
      • mx.nd.broadcast.like
      • mx.nd.broadcast.logical.and
      • mx.nd.broadcast.logical.or
      • mx.nd.broadcast.logical.xor
      • mx.nd.broadcast.maximum
      • mx.nd.broadcast.minimum
      • mx.nd.broadcast.minus
      • mx.nd.broadcast.mod
      • mx.nd.broadcast.mul
      • mx.nd.broadcast.not.equal
      • mx.nd.broadcast.plus
      • mx.nd.broadcast.power
      • mx.nd.broadcast.sub
      • mx.nd.broadcast.to
      • mx.nd.expand.dims
      • mx.nd.pad
      • mx.nd.repeat
      • mx.nd.tile
      • mx.nd.SequenceReverse
      • mx.nd.SwapAxis
      • mx.nd.depth.to.space
      • mx.nd.flip
      • mx.nd.reverse
      • mx.nd.shuffle
      • mx.nd.space.to.depth
      • mx.nd.swapaxes
      • mx.nd.transpose
      • mx.nd.argmax
      • mx.nd.argmax.channel
      • mx.nd.argmin
      • mx.nd.argsort
      • mx.nd.sort
      • mx.nd.topk
      • mx.nd.where
      • mx.nd.SequenceLast
      • mx.nd.SequenceMask
      • mx.nd.SliceChannel
      • mx.nd.batch.take
      • mx.nd.choose.element.0index
      • mx.nd.crop
      • mx.nd.diag
      • mx.nd.fill.element.0index
      • mx.nd.gather.nd
      • mx.nd.pick
      • mx.nd.ravel.multi.index
      • mx.nd.slice.axis
      • mx.nd.slice.like
      • mx.nd.take
      • mx.nd.unravel.index
      • mx.nd.ElementWiseSum
      • mx.nd.GroupNorm
      • mx.nd.abs
      • mx.nd.add.n
      • mx.nd.all.finite
      • mx.nd.cbrt
      • mx.nd.cumsum
      • mx.nd.elemwise.add
      • mx.nd.elemwise.div
      • mx.nd.elemwise.mul
      • mx.nd.elemwise.sub
      • mx.nd.erf
      • mx.nd.erfinv
      • mx.nd.exp
      • mx.nd.expm1
      • mx.nd.gamma
      • mx.nd.gammaln
      • mx.nd.identity
      • mx.nd.log
      • mx.nd.log10
      • mx.nd.log1p
      • mx.nd.log2
      • mx.nd.logical.not
      • mx.nd.moments
      • mx.nd.multi.all.finite
      • mx.nd.multi.lars
      • mx.nd.multi.sum.sq
      • mx.nd.negative
      • mx.nd.rcbrt
      • mx.nd.reciprocal
      • mx.nd.reset.arrays
      • mx.nd.rsqrt
      • mx.nd.sign
      • mx.nd.sqrt
      • mx.nd.square
      • mx.nd.max
      • mx.nd.max.axis
      • mx.nd.mean
      • mx.nd.min
      • mx.nd.min.axis
      • mx.nd.nanprod
      • mx.nd.nansum
      • mx.nd.prod
      • mx.nd.sum
      • mx.nd.sum.axis
      • mx.nd.ceil
      • mx.nd.clip
      • mx.nd.fix
      • mx.nd.floor
      • mx.nd.rint
      • mx.nd.round
      • mx.nd.trunc
      • mx.nd.L2Normalization
      • mx.nd.batch.dot
      • mx.nd.dot
      • mx.nd.khatri.rao
      • mx.nd.linalg.det
      • mx.nd.linalg.extractdiag
      • mx.nd.linalg.extracttrian
      • mx.nd.linalg.gelqf
      • mx.nd.linalg.gemm
      • mx.nd.linalg.gemm2
      • mx.nd.linalg.inverse
      • mx.nd.linalg.makediag
      • mx.nd.linalg.maketrian
      • mx.nd.linalg.potrf
      • mx.nd.linalg.potri
      • mx.nd.linalg.slogdet
      • mx.nd.linalg.sumlogdiag
      • mx.nd.linalg.syrk
      • mx.nd.linalg.trmm
      • mx.nd.linalg.trsm
      • mx.nd.norm
      • mx.nd.smooth.l1
      • mx.nd.arccos
      • mx.nd.arcsin
      • mx.nd.arctan
      • mx.nd.cos
      • mx.nd.degrees
      • mx.nd.radians
      • mx.nd.sin
      • mx.nd.tan
      • mx.nd.arccosh
      • mx.nd.arcsinh
      • mx.nd.arctanh
      • mx.nd.cosh
      • mx.nd.sinh
      • mx.nd.tanh
      • mx.nd.Activation
      • mx.nd.BatchNorm
      • mx.nd.BatchNorm.v1
      • mx.nd.BlockGrad
      • mx.nd.CTCLoss
      • mx.nd.Convolution
      • mx.nd.Convolution.v1
      • mx.nd.Correlation
      • mx.nd.Custom
      • mx.nd.Deconvolution
      • mx.nd.Dropout
      • mx.nd.Embedding
      • mx.nd.FullyConnected
      • mx.nd.IdentityAttachKLSparseReg
      • mx.nd.InstanceNorm
      • mx.nd.LRN
      • mx.nd.LayerNorm
      • mx.nd.LeakyReLU
      • mx.nd.LinearRegressionOutput
      • mx.nd.LogisticRegressionOutput
      • mx.nd.MAERegressionOutput
      • mx.nd.MakeLoss
      • mx.nd.Pooling
      • mx.nd.Pooling.v1
      • mx.nd.RNN
      • mx.nd.ROIPooling
      • mx.nd.SVMOutput
      • mx.nd.Softmax
      • mx.nd.SoftmaxActivation
      • mx.nd.SoftmaxOutput
      • mx.nd.SpatialTransformer
      • mx.nd.ctc.loss
      • mx.nd.hard.sigmoid
      • mx.nd.log.softmax
      • mx.nd.make.loss
      • mx.nd.relu
      • mx.nd.sigmoid
      • mx.nd.softmax.cross.entropy
      • mx.nd.softmin
      • mx.nd.softsign
      • mx.nd.stop.gradient
    • Symbol
      • arguments
      • children
      • graph.viz
      • internals
      • is.mx.symbol
      • mx.symbol.infer.shape
      • mx.symbol.shape_array
      • mx.symbol.size_array
      • outputs
      • mx.symbol.Group
      • mx.symbol.GroupNorm
      • mx.symbol.Variable
      • mx.symbol.one_hot
      • mx.symbol.ones_like
      • mx.symbol.zeros_like
      • mx.apply
      • mx.symbol.cast
      • mx.symbol.cast_storage
      • mx.symbol.load
      • mx.symbol.load.json
      • mx.symbol.save
      • mx.symbol.Concat
      • mx.symbol.Reshape
      • mx.symbol.flatten
      • mx.symbol.reshape_like
      • mx.symbol.scatter_nd
      • mx.symbol.split
      • mx.symbol.squeeze
      • mx.symbol.stack
      • mx.symbol.GridGenerator
      • mx.symbol.Pad
      • mx.symbol.UpSampling
      • mx.symbol.broadcast_add
      • mx.symbol.broadcast_axes
      • mx.symbol.broadcast_axis
      • mx.symbol.broadcast_div
      • mx.symbol.broadcast_equal
      • mx.symbol.broadcast_greater
      • mx.symbol.broadcast_greater_equal
      • mx.symbol.broadcast_hypot
      • mx.symbol.broadcast_lesser
      • mx.symbol.broadcast_lesser_equal
      • mx.symbol.broadcast_like
      • mx.symbol.broadcast_logical_and
      • mx.symbol.broadcast_logical_or
      • mx.symbol.broadcast_logical_xor
      • mx.symbol.broadcast_maximum
      • mx.symbol.broadcast_minimum
      • mx.symbol.broadcast_minus
      • mx.symbol.broadcast_mod
      • mx.symbol.broadcast_mul
      • mx.symbol.broadcast_not_equal
      • mx.symbol.broadcast_plus
      • mx.symbol.broadcast_power
      • mx.symbol.broadcast_sub
      • mx.symbol.broadcast_to
      • mx.symbol.expand_dims
      • mx.symbol.repeat
      • mx.symbol.tile
      • mx.symbol.SequenceReverse
      • mx.symbol.SwapAxis
      • mx.symbol.depth_to_space
      • mx.symbol.flip
      • mx.symbol.reverse
      • mx.symbol.shuffle
      • mx.symbol.space_to_depth
      • mx.symbol.swapaxes
      • mx.symbol.transpose
      • mx.symbol.argmax
      • mx.symbol.argmax_channel
      • mx.symbol.argmin
      • mx.symbol.argsort
      • mx.symbol.sort
      • mx.symbol.topk
      • mx.symbol.where
      • mx.symbol.Crop
      • mx.symbol.SequenceLast
      • mx.symbol.SequenceMask
      • mx.symbol.SliceChannel
      • mx.symbol.batch_take
      • mx.symbol.choose_element_0index
      • mx.symbol.diag
      • mx.symbol.fill_element_0index
      • mx.symbol.gather_nd
      • mx.symbol.pick
      • mx.symbol.ravel_multi_index
      • mx.symbol.slice
      • mx.symbol.slice_axis
      • mx.symbol.slice_like
      • mx.symbol.take
      • mx.symbol.unravel_index
      • mx.symbol.ElementWiseSum
      • mx.symbol.abs
      • mx.symbol.add_n
      • mx.symbol.all_finite
      • mx.symbol.cbrt
      • mx.symbol.cumsum
      • mx.symbol.elemwise_add
      • mx.symbol.elemwise_div
      • mx.symbol.elemwise_mul
      • mx.symbol.elemwise_sub
      • mx.symbol.erf
      • mx.symbol.erfinv
      • mx.symbol.exp
      • mx.symbol.expm1
      • mx.symbol.gamma
      • mx.symbol.gammaln
      • mx.symbol.identity
      • mx.symbol.log
      • mx.symbol.log10
      • mx.symbol.log1p
      • mx.symbol.log2
      • mx.symbol.logical_not
      • mx.symbol.moments
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_lars
      • mx.symbol.multi_sum_sq
      • mx.symbol.negative
      • mx.symbol.rcbrt
      • mx.symbol.reciprocal
      • mx.symbol.reset_arrays
      • mx.symbol.rsqrt
      • mx.symbol.sign
      • mx.symbol.sqrt
      • mx.symbol.square
      • mx.symbol.max
      • mx.symbol.max_axis
      • mx.symbol.mean
      • mx.symbol.nanprod
      • mx.symbol.nansum
      • mx.symbol.prod
      • mx.symbol.sum
      • mx.symbol.sum_axis
      • mx.symbol.ceil
      • mx.symbol.clip
      • mx.symbol.fix
      • mx.symbol.floor
      • mx.symbol.rint
      • mx.symbol.round
      • mx.symbol.trunc
      • mx.symbol.L2Normalization
      • mx.symbol.batch_dot
      • mx.symbol.dot
      • mx.symbol.khatri_rao
      • mx.symbol.linalg_det
      • mx.symbol.linalg_extractdiag
      • mx.symbol.linalg_extracttrian
      • mx.symbol.linalg_gelqf
      • mx.symbol.linalg_gemm
      • mx.symbol.linalg_gemm2
      • mx.symbol.linalg_inverse
      • mx.symbol.linalg_makediag
      • mx.symbol.linalg_maketrian
      • mx.symbol.linalg_potrf
      • mx.symbol.linalg_potri
      • mx.symbol.linalg_slogdet
      • mx.symbol.linalg_sumlogdiag
      • mx.symbol.linalg_syrk
      • mx.symbol.linalg_trmm
      • mx.symbol.linalg_trsm
      • mx.symbol.norm
      • mx.symbol.smooth_l1
      • mx.symbol.arccos
      • mx.symbol.arcsin
      • mx.symbol.arctan
      • mx.symbol.cos
      • mx.symbol.degrees
      • mx.symbol.radians
      • mx.symbol.sin
      • mx.symbol.tan
      • mx.symbol.arccosh
      • mx.symbol.arcsinh
      • mx.symbol.arctanh
      • mx.symbol.cosh
      • mx.symbol.sinh
      • mx.symbol.tanh
      • mx.symbol.Activation
      • mx.symbol.BatchNorm
      • mx.symbol.BatchNorm_v1
      • mx.symbol.BlockGrad
      • mx.symbol.CTCLoss
      • mx.symbol.Convolution
      • mx.symbol.Convolution_v1
      • mx.symbol.Correlation
      • mx.symbol.Custom
      • mx.symbol.Deconvolution
      • mx.symbol.Dropout
      • mx.symbol.Embedding
      • mx.symbol.FullyConnected
      • mx.symbol.IdentityAttachKLSparseReg
      • mx.symbol.InstanceNorm
      • mx.symbol.LRN
      • mx.symbol.LayerNorm
      • mx.symbol.LeakyReLU
      • mx.symbol.LinearRegressionOutput
      • mx.symbol.LogisticRegressionOutput
      • mx.symbol.MAERegressionOutput
      • mx.symbol.MakeLoss
      • mx.symbol.Pooling
      • mx.symbol.Pooling_v1
      • mx.symbol.RNN
      • mx.symbol.ROIPooling
      • mx.symbol.SVMOutput
      • mx.symbol.SoftmaxActivation
      • mx.symbol.SoftmaxOutput
      • mx.symbol.SpatialTransformer
      • mx.symbol.ctc_loss
      • mx.symbol.hard_sigmoid
      • mx.symbol.log_softmax
      • mx.symbol.make_loss
      • mx.symbol.relu
      • mx.symbol.sigmoid
      • mx.symbol.softmax
      • mx.symbol.softmax_cross_entropy
      • mx.symbol.softmin
      • mx.symbol.softsign
      • mx.symbol.stop_gradient
    • IO
      • mx.io.CSVIter
      • mx.io.LibSVMIter
      • mx.io.MNISTIter
      • mx.io.arrayiter
      • mx.io.bucket.iter
      • mx.io.extract
      • is.mx.dataiter
      • mx.io.ImageDetRecordIter
      • mx.io.ImageRecordInt8Iter
      • mx.io.ImageRecordIter
      • mx.io.ImageRecordIter_v1
      • mx.io.ImageRecordUInt8Iter
      • mx.io.ImageRecordUInt8Iter_v1
      • im2rec
    • Context
      • mx.cpu
      • mx.gpu
      • ctx
      • mx.ctx.default
      • is.mx.context
    • Model
      • mx.model.FeedForward.create
      • mx.model.buckets
      • mx.model.init.params
      • mx.model.load
      • mx.model.save
      • predict.MXFeedForwardModel
      • is.serialized
      • mx.serialize
      • mx.unserialize
      • mx.mlp
      • mx.infer.rnn
      • mx.infer.rnn.one
      • mx.infer.rnn.one.unroll
      • mx.nd.RNN
      • mx.symbol.RNN
      • rnn.graph
      • rnn.graph.unroll
    • Metric
      • mx.callback.log.train.metric
      • mx.metric.Perplexity
      • mx.metric.accuracy
      • mx.metric.custom
      • mx.metric.logistic_acc
      • mx.metric.logloss
      • mx.metric.mae
      • mx.metric.mse
      • mx.metric.rmse
      • mx.metric.rmsle
      • mx.metric.top_k_accuracy
    • Optimization
      • mx.opt.adadelta
      • mx.opt.adagrad
      • mx.opt.adam
      • mx.opt.create
      • mx.opt.get.updater
      • mx.opt.nag
      • mx.opt.rmsprop
      • mx.opt.sgd
      • mx.init.Xavier
      • mx.init.create
      • mx.init.internal.default
      • mx.init.normal
      • mx.init.uniform
      • mx.model.init.params
      • mx.lr_scheduler.FactorScheduler
      • mx.lr_scheduler.MultiFactorScheduler
      • mx.nd.adam.update
      • mx.nd.all.finite
      • mx.nd.ftml.update
      • mx.nd.ftrl.update
      • mx.nd.lamb.update.phase1
      • mx.nd.lamb.update.phase2
      • mx.nd.mp.lamb.update.phase1
      • mx.nd.mp.lamb.update.phase2
      • mx.nd.mp.nag.mom.update
      • mx.nd.mp.sgd.mom.update
      • mx.nd.mp.sgd.update
      • mx.nd.multi.all.finite
      • mx.nd.multi.mp.sgd.mom.update
      • mx.nd.multi.mp.sgd.update
      • mx.nd.multi.sgd.mom.update
      • mx.nd.multi.sgd.update
      • mx.nd.nag.mom.update
      • mx.nd.preloaded.multi.mp.sgd.mom.update
      • mx.nd.preloaded.multi.mp.sgd.update
      • mx.nd.preloaded.multi.sgd.mom.update
      • mx.nd.preloaded.multi.sgd.update
      • mx.nd.rmsprop.update
      • mx.nd.rmspropalex.update
      • mx.nd.sgd.mom.update
      • mx.nd.sgd.update
      • mx.nd.signsgd.update
      • mx.nd.signum.update
      • mx.symbol.adam_update
      • mx.symbol.all_finite
      • mx.symbol.ftml_update
      • mx.symbol.ftrl_update
      • mx.symbol.mp_sgd_mom_update
      • mx.symbol.mp_sgd_update
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_mp_sgd_mom_update
      • mx.symbol.multi_mp_sgd_update
      • mx.symbol.multi_sgd_mom_update
      • mx.symbol.multi_sgd_update
      • mx.symbol.preloaded_multi_mp_sgd_mom_update
      • mx.symbol.preloaded_multi_mp_sgd_update
      • mx.symbol.preloaded_multi_sgd_mom_update
      • mx.symbol.preloaded_multi_sgd_update
      • mx.symbol.sgd_mom_update
      • mx.symbol.sgd_update
      • mx.symbol.signsgd_update
      • mx.symbol.signum_update
    • Random Sampling
      • mx.rnorm
      • mx.runif
      • mx.set.seed
      • mx.nd.normal
      • mx.nd.random.exponential
      • mx.nd.random.gamma
      • mx.nd.random.generalized.negative.binomial
      • mx.nd.random.negative.binomial
      • mx.nd.random.normal
      • mx.nd.random.pdf.dirichlet
      • mx.nd.random.pdf.exponential
      • mx.nd.random.pdf.gamma
      • mx.nd.random.pdf.generalized.negative.binomial
      • mx.nd.random.pdf.negative.binomial
      • mx.nd.random.pdf.normal
      • mx.nd.random.pdf.poisson
      • mx.nd.random.pdf.uniform
      • mx.nd.random.poisson
      • mx.nd.random.randint
      • mx.nd.random.uniform
      • mx.nd.sample.exponential
      • mx.nd.sample.gamma
      • mx.nd.sample.generalized.negative.binomial
      • mx.nd.sample.multinomial
      • mx.nd.sample.negative.binomial
      • mx.nd.sample.normal
      • mx.nd.sample.poisson
      • mx.nd.sample.uniform
      • mx.nd.uniform
      • mx.symbol.random_exponential
      • mx.symbol.random_gamma
      • mx.symbol.random_generalized_negative_binomial
      • mx.symbol.random_negative_binomial
      • mx.symbol.random_normal
      • mx.symbol.random_pdf_dirichlet
      • mx.symbol.random_pdf_exponential
      • mx.symbol.random_pdf_gamma
      • mx.symbol.random_pdf_generalized_negative_binomial
      • mx.symbol.random_pdf_negative_binomial
      • mx.symbol.random_pdf_normal
      • mx.symbol.random_pdf_poisson
      • mx.symbol.random_pdf_uniform
      • mx.symbol.random_poisson
      • mx.symbol.random_randint
      • mx.symbol.random_uniform
      • mx.symbol.sample_exponential
      • mx.symbol.sample_gamma
      • mx.symbol.sample_generalized_negative_binomial
      • mx.symbol.sample_multinomial
      • mx.symbol.sample_negative_binomial
      • mx.symbol.sample_normal
      • mx.symbol.sample_poisson
      • mx.symbol.sample_uniform
      • mx.symbol.uniform
    • Monitoring
      • mx.callback.early.stop
      • mx.callback.log.speedometer
      • mx.callback.log.train.metric
      • mx.callback.save.checkpoint
      • mx.profiler.config
      • mx.profiler.state
    • Advanced
      • mx.kv.create
      • mx.exec.backward
      • mx.exec.forward
      • mx.exec.update.arg.arrays
      • mx.exec.update.aux.arrays
      • mx.exec.update.grad.arrays
      • mx.simple.bind
    • Complete Library
      • Ops.MXNDArray
      • arguments
      • as.array.MXNDArray
      • as.matrix.MXNDArray
      • children
      • ctx
      • dim.MXNDArray
      • graph.viz
      • im2rec
      • internals
      • is.mx.context
      • is.mx.dataiter
      • is.mx.ndarray
      • is.mx.symbol
      • is.serialized
      • length.MXNDArray
      • mx.apply
      • mx.callback.early.stop
      • mx.callback.log.speedometer
      • mx.callback.log.train.metric
      • mx.callback.save.checkpoint
      • mx.cpu
      • mx.ctx.default
      • mx.exec.backward
      • mx.exec.forward
      • mx.exec.update.arg.arrays
      • mx.exec.update.aux.arrays
      • mx.exec.update.grad.arrays
      • mx.gpu
      • mx.infer.rnn
      • mx.infer.rnn.one
      • mx.infer.rnn.one.unroll
      • mx.init.Xavier
      • mx.init.create
      • mx.init.internal.default
      • mx.init.normal
      • mx.init.uniform
      • mx.io.CSVIter
      • mx.io.ImageDetRecordIter
      • mx.io.ImageRecordInt8Iter
      • mx.io.ImageRecordIter
      • mx.io.ImageRecordIter_v1
      • mx.io.ImageRecordUInt8Iter
      • mx.io.ImageRecordUInt8Iter_v1
      • mx.io.LibSVMIter
      • mx.io.MNISTIter
      • mx.io.arrayiter
      • mx.io.bucket.iter
      • mx.io.extract
      • mx.kv.create
      • mx.lr_scheduler.FactorScheduler
      • mx.lr_scheduler.MultiFactorScheduler
      • mx.metric.Perplexity
      • mx.metric.accuracy
      • mx.metric.custom
      • mx.metric.logistic_acc
      • mx.metric.logloss
      • mx.metric.mae
      • mx.metric.mse
      • mx.metric.rmse
      • mx.metric.rmsle
      • mx.metric.top_k_accuracy
      • mx.mlp
      • mx.model.FeedForward.create
      • mx.model.buckets
      • mx.model.init.params
      • mx.model.load
      • mx.model.save
      • mx.nd.Activation
      • mx.nd.BatchNorm
      • mx.nd.BatchNorm.v1
      • mx.nd.BilinearSampler
      • mx.nd.BlockGrad
      • mx.nd.CTCLoss
      • mx.nd.Cast
      • mx.nd.Concat
      • mx.nd.Convolution
      • mx.nd.Convolution.v1
      • mx.nd.Correlation
      • mx.nd.Custom
      • mx.nd.Deconvolution
      • mx.nd.Dropout
      • mx.nd.ElementWiseSum
      • mx.nd.Embedding
      • mx.nd.FullyConnected
      • mx.nd.GridGenerator
      • mx.nd.GroupNorm
      • mx.nd.IdentityAttachKLSparseReg
      • mx.nd.InstanceNorm
      • mx.nd.L2Normalization
      • mx.nd.LRN
      • mx.nd.LayerNorm
      • mx.nd.LeakyReLU
      • mx.nd.LinearRegressionOutput
      • mx.nd.LogisticRegressionOutput
      • mx.nd.MAERegressionOutput
      • mx.nd.MakeLoss
      • mx.nd.Pooling
      • mx.nd.Pooling.v1
      • mx.nd.RNN
      • mx.nd.ROIPooling
      • mx.nd.Reshape
      • mx.nd.SVMOutput
      • mx.nd.SequenceLast
      • mx.nd.SequenceMask
      • mx.nd.SequenceReverse
      • mx.nd.SliceChannel
      • mx.nd.Softmax
      • mx.nd.SoftmaxActivation
      • mx.nd.SoftmaxOutput
      • mx.nd.SpatialTransformer
      • mx.nd.SwapAxis
      • mx.nd.UpSampling
      • mx.nd.abs
      • mx.nd.adam.update
      • mx.nd.add.n
      • mx.nd.all.finite
      • mx.nd.amp.cast
      • mx.nd.amp.multicast
      • mx.nd.arccos
      • mx.nd.arccosh
      • mx.nd.arcsin
      • mx.nd.arcsinh
      • mx.nd.arctan
      • mx.nd.arctanh
      • mx.nd.argmax
      • mx.nd.argmax.channel
      • mx.nd.argmin
      • mx.nd.argsort
      • mx.nd.array
      • mx.nd.batch.dot
      • mx.nd.batch.take
      • mx.nd.broadcast.add
      • mx.nd.broadcast.axes
      • mx.nd.broadcast.axis
      • mx.nd.broadcast.div
      • mx.nd.broadcast.equal
      • mx.nd.broadcast.greater
      • mx.nd.broadcast.greater.equal
      • mx.nd.broadcast.hypot
      • mx.nd.broadcast.lesser
      • mx.nd.broadcast.lesser.equal
      • mx.nd.broadcast.like
      • mx.nd.broadcast.logical.and
      • mx.nd.broadcast.logical.or
      • mx.nd.broadcast.logical.xor
      • mx.nd.broadcast.maximum
      • mx.nd.broadcast.minimum
      • mx.nd.broadcast.minus
      • mx.nd.broadcast.mod
      • mx.nd.broadcast.mul
      • mx.nd.broadcast.not.equal
      • mx.nd.broadcast.plus
      • mx.nd.broadcast.power
      • mx.nd.broadcast.sub
      • mx.nd.broadcast.to
      • mx.nd.cast.storage
      • mx.nd.cbrt
      • mx.nd.ceil
      • mx.nd.choose.element.0index
      • mx.nd.clip
      • mx.nd.copyto
      • mx.nd.cos
      • mx.nd.cosh
      • mx.nd.crop
      • mx.nd.ctc.loss
      • mx.nd.cumsum
      • mx.nd.degrees
      • mx.nd.depth.to.space
      • mx.nd.diag
      • mx.nd.dot
      • mx.nd.elemwise.add
      • mx.nd.elemwise.div
      • mx.nd.elemwise.mul
      • mx.nd.elemwise.sub
      • mx.nd.erf
      • mx.nd.erfinv
      • mx.nd.exp
      • mx.nd.expand.dims
      • mx.nd.expm1
      • mx.nd.fill.element.0index
      • mx.nd.fix
      • mx.nd.flatten
      • mx.nd.flip
      • mx.nd.floor
      • mx.nd.ftml.update
      • mx.nd.ftrl.update
      • mx.nd.gamma
      • mx.nd.gammaln
      • mx.nd.gather.nd
      • mx.nd.hard.sigmoid
      • mx.nd.identity
      • mx.nd.khatri.rao
      • mx.nd.lamb.update.phase1
      • mx.nd.lamb.update.phase2
      • mx.nd.linalg.det
      • mx.nd.linalg.extractdiag
      • mx.nd.linalg.extracttrian
      • mx.nd.linalg.gelqf
      • mx.nd.linalg.gemm
      • mx.nd.linalg.gemm2
      • mx.nd.linalg.inverse
      • mx.nd.linalg.makediag
      • mx.nd.linalg.maketrian
      • mx.nd.linalg.potrf
      • mx.nd.linalg.potri
      • mx.nd.linalg.slogdet
      • mx.nd.linalg.sumlogdiag
      • mx.nd.linalg.syrk
      • mx.nd.linalg.trmm
      • mx.nd.linalg.trsm
      • mx.nd.load
      • mx.nd.log
      • mx.nd.log.softmax
      • mx.nd.log10
      • mx.nd.log1p
      • mx.nd.log2
      • mx.nd.logical.not
      • mx.nd.make.loss
      • mx.nd.max
      • mx.nd.max.axis
      • mx.nd.mean
      • mx.nd.min
      • mx.nd.min.axis
      • mx.nd.moments
      • mx.nd.mp.lamb.update.phase1
      • mx.nd.mp.lamb.update.phase2
      • mx.nd.mp.nag.mom.update
      • mx.nd.mp.sgd.mom.update
      • mx.nd.mp.sgd.update
      • mx.nd.multi.all.finite
      • mx.nd.multi.lars
      • mx.nd.multi.mp.sgd.mom.update
      • mx.nd.multi.mp.sgd.update
      • mx.nd.multi.sgd.mom.update
      • mx.nd.multi.sgd.update
      • mx.nd.multi.sum.sq
      • mx.nd.nag.mom.update
      • mx.nd.nanprod
      • mx.nd.nansum
      • mx.nd.negative
      • mx.nd.norm
      • mx.nd.normal
      • mx.nd.one.hot
      • mx.nd.ones
      • mx.nd.ones.like
      • mx.nd.pad
      • mx.nd.pick
      • mx.nd.preloaded.multi.mp.sgd.mom.update
      • mx.nd.preloaded.multi.mp.sgd.update
      • mx.nd.preloaded.multi.sgd.mom.update
      • mx.nd.preloaded.multi.sgd.update
      • mx.nd.prod
      • mx.nd.radians
      • mx.nd.random.exponential
      • mx.nd.random.gamma
      • mx.nd.random.generalized.negative.binomial
      • mx.nd.random.negative.binomial
      • mx.nd.random.normal
      • mx.nd.random.pdf.dirichlet
      • mx.nd.random.pdf.exponential
      • mx.nd.random.pdf.gamma
      • mx.nd.random.pdf.generalized.negative.binomial
      • mx.nd.random.pdf.negative.binomial
      • mx.nd.random.pdf.normal
      • mx.nd.random.pdf.poisson
      • mx.nd.random.pdf.uniform
      • mx.nd.random.poisson
      • mx.nd.random.randint
      • mx.nd.random.uniform
      • mx.nd.ravel.multi.index
      • mx.nd.rcbrt
      • mx.nd.reciprocal
      • mx.nd.relu
      • mx.nd.repeat
      • mx.nd.reset.arrays
      • mx.nd.reshape.like
      • mx.nd.reverse
      • mx.nd.rint
      • mx.nd.rmsprop.update
      • mx.nd.rmspropalex.update
      • mx.nd.round
      • mx.nd.rsqrt
      • mx.nd.sample.exponential
      • mx.nd.sample.gamma
      • mx.nd.sample.generalized.negative.binomial
      • mx.nd.sample.multinomial
      • mx.nd.sample.negative.binomial
      • mx.nd.sample.normal
      • mx.nd.sample.poisson
      • mx.nd.sample.uniform
      • mx.nd.save
      • mx.nd.scatter.nd
      • mx.nd.sgd.mom.update
      • mx.nd.sgd.update
      • mx.nd.shape.array
      • mx.nd.shuffle
      • mx.nd.sigmoid
      • mx.nd.sign
      • mx.nd.signsgd.update
      • mx.nd.signum.update
      • mx.nd.sin
      • mx.nd.sinh
      • mx.nd.size.array
      • mx.nd.slice.axis
      • mx.nd.slice.like
      • mx.nd.smooth.l1
      • mx.nd.softmax.cross.entropy
      • mx.nd.softmin
      • mx.nd.softsign
      • mx.nd.sort
      • mx.nd.space.to.depth
      • mx.nd.split
      • mx.nd.sqrt
      • mx.nd.square
      • mx.nd.squeeze
      • mx.nd.stack
      • mx.nd.stop.gradient
      • mx.nd.sum
      • mx.nd.sum.axis
      • mx.nd.swapaxes
      • mx.nd.take
      • mx.nd.tan
      • mx.nd.tanh
      • mx.nd.tile
      • mx.nd.topk
      • mx.nd.transpose
      • mx.nd.trunc
      • mx.nd.uniform
      • mx.nd.unravel.index
      • mx.nd.where
      • mx.nd.zeros
      • mx.nd.zeros.like
      • mx.opt.adadelta
      • mx.opt.adagrad
      • mx.opt.adam
      • mx.opt.create
      • mx.opt.get.updater
      • mx.opt.nag
      • mx.opt.rmsprop
      • mx.opt.sgd
      • mx.profiler.config
      • mx.profiler.state
      • mx.rnorm
      • mx.runif
      • mx.serialize
      • mx.set.seed
      • mx.simple.bind
      • mx.symbol.Activation
      • mx.symbol.BatchNorm
      • mx.symbol.BatchNorm_v1
      • mx.symbol.BilinearSampler
      • mx.symbol.BlockGrad
      • mx.symbol.CTCLoss
      • mx.symbol.Concat
      • mx.symbol.Convolution
      • mx.symbol.Convolution_v1
      • mx.symbol.Correlation
      • mx.symbol.Crop
      • mx.symbol.Custom
      • mx.symbol.Deconvolution
      • mx.symbol.Dropout
      • mx.symbol.ElementWiseSum
      • mx.symbol.Embedding
      • mx.symbol.FullyConnected
      • mx.symbol.GridGenerator
      • mx.symbol.Group
      • mx.symbol.GroupNorm
      • mx.symbol.IdentityAttachKLSparseReg
      • mx.symbol.InstanceNorm
      • mx.symbol.L2Normalization
      • mx.symbol.LRN
      • mx.symbol.LayerNorm
      • mx.symbol.LeakyReLU
      • mx.symbol.LinearRegressionOutput
      • mx.symbol.LogisticRegressionOutput
      • mx.symbol.MAERegressionOutput
      • mx.symbol.MakeLoss
      • mx.symbol.Pad
      • mx.symbol.Pooling
      • mx.symbol.Pooling_v1
      • mx.symbol.RNN
      • mx.symbol.ROIPooling
      • mx.symbol.Reshape
      • mx.symbol.SVMOutput
      • mx.symbol.SequenceLast
      • mx.symbol.SequenceMask
      • mx.symbol.SequenceReverse
      • mx.symbol.SliceChannel
      • mx.symbol.SoftmaxActivation
      • mx.symbol.SoftmaxOutput
      • mx.symbol.SpatialTransformer
      • mx.symbol.SwapAxis
      • mx.symbol.UpSampling
      • mx.symbol.Variable
      • mx.symbol.abs
      • mx.symbol.adam_update
      • mx.symbol.add_n
      • mx.symbol.all_finite
      • mx.symbol.amp_cast
      • mx.symbol.amp_multicast
      • mx.symbol.arccos
      • mx.symbol.arccosh
      • mx.symbol.arcsin
      • mx.symbol.arcsinh
      • mx.symbol.arctan
      • mx.symbol.arctanh
      • mx.symbol.argmax
      • mx.symbol.argmax_channel
      • mx.symbol.argmin
      • mx.symbol.argsort
      • mx.symbol.batch_dot
      • mx.symbol.batch_take
      • mx.symbol.broadcast_add
      • mx.symbol.broadcast_axes
      • mx.symbol.broadcast_axis
      • mx.symbol.broadcast_div
      • mx.symbol.broadcast_equal
      • mx.symbol.broadcast_greater
      • mx.symbol.broadcast_greater_equal
      • mx.symbol.broadcast_hypot
      • mx.symbol.broadcast_lesser
      • mx.symbol.broadcast_lesser_equal
      • mx.symbol.broadcast_like
      • mx.symbol.broadcast_logical_and
      • mx.symbol.broadcast_logical_or
      • mx.symbol.broadcast_logical_xor
      • mx.symbol.broadcast_maximum
      • mx.symbol.broadcast_minimum
      • mx.symbol.broadcast_minus
      • mx.symbol.broadcast_mod
      • mx.symbol.broadcast_mul
      • mx.symbol.broadcast_not_equal
      • mx.symbol.broadcast_plus
      • mx.symbol.broadcast_power
      • mx.symbol.broadcast_sub
      • mx.symbol.broadcast_to
      • mx.symbol.cast
      • mx.symbol.cast_storage
      • mx.symbol.cbrt
      • mx.symbol.ceil
      • mx.symbol.choose_element_0index
      • mx.symbol.clip
      • mx.symbol.cos
      • mx.symbol.cosh
      • mx.symbol.ctc_loss
      • mx.symbol.cumsum
      • mx.symbol.degrees
      • mx.symbol.depth_to_space
      • mx.symbol.diag
      • mx.symbol.dot
      • mx.symbol.elemwise_add
      • mx.symbol.elemwise_div
      • mx.symbol.elemwise_mul
      • mx.symbol.elemwise_sub
      • mx.symbol.erf
      • mx.symbol.erfinv
      • mx.symbol.exp
      • mx.symbol.expand_dims
      • mx.symbol.expm1
      • mx.symbol.fill_element_0index
      • mx.symbol.fix
      • mx.symbol.flatten
      • mx.symbol.flip
      • mx.symbol.floor
      • mx.symbol.ftml_update
      • mx.symbol.ftrl_update
      • mx.symbol.gamma
      • mx.symbol.gammaln
      • mx.symbol.gather_nd
      • mx.symbol.hard_sigmoid
      • mx.symbol.identity
      • mx.symbol.infer.shape
      • mx.symbol.khatri_rao
      • mx.symbol.lamb_update_phase1
      • mx.symbol.lamb_update_phase2
      • mx.symbol.linalg_det
      • mx.symbol.linalg_extractdiag
      • mx.symbol.linalg_extracttrian
      • mx.symbol.linalg_gelqf
      • mx.symbol.linalg_gemm
      • mx.symbol.linalg_gemm2
      • mx.symbol.linalg_inverse
      • mx.symbol.linalg_makediag
      • mx.symbol.linalg_maketrian
      • mx.symbol.linalg_potrf
      • mx.symbol.linalg_potri
      • mx.symbol.linalg_slogdet
      • mx.symbol.linalg_sumlogdiag
      • mx.symbol.linalg_syrk
      • mx.symbol.linalg_trmm
      • mx.symbol.linalg_trsm
      • mx.symbol.load
      • mx.symbol.load.json
      • mx.symbol.log
      • mx.symbol.log10
      • mx.symbol.log1p
      • mx.symbol.log2
      • mx.symbol.log_softmax
      • mx.symbol.logical_not
      • mx.symbol.make_loss
      • mx.symbol.max
      • mx.symbol.max_axis
      • mx.symbol.mean
      • mx.symbol.moments
      • mx.symbol.mp_lamb_update_phase1
      • mx.symbol.mp_lamb_update_phase2
      • mx.symbol.mp_nag_mom_update
      • mx.symbol.mp_sgd_mom_update
      • mx.symbol.mp_sgd_update
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_lars
      • mx.symbol.multi_mp_sgd_mom_update
      • mx.symbol.multi_mp_sgd_update
      • mx.symbol.multi_sgd_mom_update
      • mx.symbol.multi_sgd_update
      • mx.symbol.multi_sum_sq
      • mx.symbol.nag_mom_update
      • mx.symbol.nanprod
      • mx.symbol.nansum
      • mx.symbol.negative
      • mx.symbol.norm
      • mx.symbol.normal
      • mx.symbol.one_hot
      • mx.symbol.ones_like
      • mx.symbol.pick
      • mx.symbol.preloaded_multi_mp_sgd_mom_update
      • mx.symbol.preloaded_multi_mp_sgd_update
      • mx.symbol.preloaded_multi_sgd_mom_update
      • mx.symbol.preloaded_multi_sgd_update
      • mx.symbol.prod
      • mx.symbol.radians
      • mx.symbol.random_exponential
      • mx.symbol.random_gamma
      • mx.symbol.random_generalized_negative_binomial
      • mx.symbol.random_negative_binomial
      • mx.symbol.random_normal
      • mx.symbol.random_pdf_dirichlet
      • mx.symbol.random_pdf_exponential
      • mx.symbol.random_pdf_gamma
      • mx.symbol.random_pdf_generalized_negative_binomial
      • mx.symbol.random_pdf_negative_binomial
      • mx.symbol.random_pdf_normal
      • mx.symbol.random_pdf_poisson
      • mx.symbol.random_pdf_uniform
      • mx.symbol.random_poisson
      • mx.symbol.random_randint
      • mx.symbol.random_uniform
      • mx.symbol.ravel_multi_index
      • mx.symbol.rcbrt
      • mx.symbol.reciprocal
      • mx.symbol.relu
      • mx.symbol.repeat
      • mx.symbol.reset_arrays
      • mx.symbol.reshape_like
      • mx.symbol.reverse
      • mx.symbol.rint
      • mx.symbol.rmsprop_update
      • mx.symbol.rmspropalex_update
      • mx.symbol.round
      • mx.symbol.rsqrt
      • mx.symbol.sample_exponential
      • mx.symbol.sample_gamma
      • mx.symbol.sample_generalized_negative_binomial
      • mx.symbol.sample_multinomial
      • mx.symbol.sample_negative_binomial
      • mx.symbol.sample_normal
      • mx.symbol.sample_poisson
      • mx.symbol.sample_uniform
      • mx.symbol.save
      • mx.symbol.scatter_nd
      • mx.symbol.sgd_mom_update
      • mx.symbol.sgd_update
      • mx.symbol.shape_array
      • mx.symbol.shuffle
      • mx.symbol.sigmoid
      • mx.symbol.sign
      • mx.symbol.signsgd_update
      • mx.symbol.signum_update
      • mx.symbol.sin
      • mx.symbol.sinh
      • mx.symbol.size_array
      • mx.symbol.slice
      • mx.symbol.slice_axis
      • mx.symbol.slice_like
      • mx.symbol.smooth_l1
      • mx.symbol.softmax
      • mx.symbol.softmax_cross_entropy
      • mx.symbol.softmin
      • mx.symbol.softsign
      • mx.symbol.sort
      • mx.symbol.space_to_depth
      • mx.symbol.split
      • mx.symbol.sqrt
      • mx.symbol.square
      • mx.symbol.squeeze
      • mx.symbol.stack
      • mx.symbol.stop_gradient
      • mx.symbol.sum
      • mx.symbol.sum_axis
      • mx.symbol.swapaxes
      • mx.symbol.take
      • mx.symbol.tan
      • mx.symbol.tanh
      • mx.symbol.tile
      • mx.symbol.topk
      • mx.symbol.transpose
      • mx.symbol.trunc
      • mx.symbol.uniform
      • mx.symbol.unravel_index
      • mx.symbol.where
      • mx.symbol.zeros_like
      • mx.unserialize
      • outputs
      • predict.MXFeedForwardModel
      • print.MXNDArray
      • rnn.graph
      • rnn.graph.unroll
  • MXNet R Tutorials
    • Develop a Neural Network with MXNet in Five Minutes
    • Handwritten Digits Image Classification
    • Classify Images with a PreTrained Model
    • Character-level Language Model using RNN
    • LSTM Time Series Example
    • NDArray: Vectorized Tensor Computations on CPUs and GPUs
    • Symbol and Automatic Differentiation
    • Callback Functions
    • Custom Loss Function
    • Custom Iterator Tutorial
Table Of Contents
  • MXNet API for R
    • NDArray
      • dim.MXNDArray
      • is.mx.ndarray
      • length.MXNDArray
      • mx.nd.shape.array
      • mx.nd.size.array
      • print.MXNDArray
      • mx.nd.array
      • mx.nd.one.hot
      • mx.nd.ones
      • mx.nd.ones.like
      • mx.nd.zeros
      • mx.nd.zeros.like
      • Ops.MXNDArray
      • as.array.MXNDArray
      • as.matrix.MXNDArray
      • mx.nd.Cast
      • mx.nd.amp.cast
      • mx.nd.cast.storage
      • mx.nd.copyto
      • mx.nd.load
      • mx.nd.save
      • mx.nd.Concat
      • mx.nd.Reshape
      • mx.nd.flatten
      • mx.nd.reshape.like
      • mx.nd.scatter.nd
      • mx.nd.split
      • mx.nd.squeeze
      • mx.nd.stack
      • mx.nd.GridGenerator
      • mx.nd.UpSampling
      • mx.nd.broadcast.add
      • mx.nd.broadcast.axes
      • mx.nd.broadcast.axis
      • mx.nd.broadcast.div
      • mx.nd.broadcast.equal
      • mx.nd.broadcast.greater
      • mx.nd.broadcast.greater.equal
      • mx.nd.broadcast.hypot
      • mx.nd.broadcast.lesser
      • mx.nd.broadcast.lesser.equal
      • mx.nd.broadcast.like
      • mx.nd.broadcast.logical.and
      • mx.nd.broadcast.logical.or
      • mx.nd.broadcast.logical.xor
      • mx.nd.broadcast.maximum
      • mx.nd.broadcast.minimum
      • mx.nd.broadcast.minus
      • mx.nd.broadcast.mod
      • mx.nd.broadcast.mul
      • mx.nd.broadcast.not.equal
      • mx.nd.broadcast.plus
      • mx.nd.broadcast.power
      • mx.nd.broadcast.sub
      • mx.nd.broadcast.to
      • mx.nd.expand.dims
      • mx.nd.pad
      • mx.nd.repeat
      • mx.nd.tile
      • mx.nd.SequenceReverse
      • mx.nd.SwapAxis
      • mx.nd.depth.to.space
      • mx.nd.flip
      • mx.nd.reverse
      • mx.nd.shuffle
      • mx.nd.space.to.depth
      • mx.nd.swapaxes
      • mx.nd.transpose
      • mx.nd.argmax
      • mx.nd.argmax.channel
      • mx.nd.argmin
      • mx.nd.argsort
      • mx.nd.sort
      • mx.nd.topk
      • mx.nd.where
      • mx.nd.SequenceLast
      • mx.nd.SequenceMask
      • mx.nd.SliceChannel
      • mx.nd.batch.take
      • mx.nd.choose.element.0index
      • mx.nd.crop
      • mx.nd.diag
      • mx.nd.fill.element.0index
      • mx.nd.gather.nd
      • mx.nd.pick
      • mx.nd.ravel.multi.index
      • mx.nd.slice.axis
      • mx.nd.slice.like
      • mx.nd.take
      • mx.nd.unravel.index
      • mx.nd.ElementWiseSum
      • mx.nd.GroupNorm
      • mx.nd.abs
      • mx.nd.add.n
      • mx.nd.all.finite
      • mx.nd.cbrt
      • mx.nd.cumsum
      • mx.nd.elemwise.add
      • mx.nd.elemwise.div
      • mx.nd.elemwise.mul
      • mx.nd.elemwise.sub
      • mx.nd.erf
      • mx.nd.erfinv
      • mx.nd.exp
      • mx.nd.expm1
      • mx.nd.gamma
      • mx.nd.gammaln
      • mx.nd.identity
      • mx.nd.log
      • mx.nd.log10
      • mx.nd.log1p
      • mx.nd.log2
      • mx.nd.logical.not
      • mx.nd.moments
      • mx.nd.multi.all.finite
      • mx.nd.multi.lars
      • mx.nd.multi.sum.sq
      • mx.nd.negative
      • mx.nd.rcbrt
      • mx.nd.reciprocal
      • mx.nd.reset.arrays
      • mx.nd.rsqrt
      • mx.nd.sign
      • mx.nd.sqrt
      • mx.nd.square
      • mx.nd.max
      • mx.nd.max.axis
      • mx.nd.mean
      • mx.nd.min
      • mx.nd.min.axis
      • mx.nd.nanprod
      • mx.nd.nansum
      • mx.nd.prod
      • mx.nd.sum
      • mx.nd.sum.axis
      • mx.nd.ceil
      • mx.nd.clip
      • mx.nd.fix
      • mx.nd.floor
      • mx.nd.rint
      • mx.nd.round
      • mx.nd.trunc
      • mx.nd.L2Normalization
      • mx.nd.batch.dot
      • mx.nd.dot
      • mx.nd.khatri.rao
      • mx.nd.linalg.det
      • mx.nd.linalg.extractdiag
      • mx.nd.linalg.extracttrian
      • mx.nd.linalg.gelqf
      • mx.nd.linalg.gemm
      • mx.nd.linalg.gemm2
      • mx.nd.linalg.inverse
      • mx.nd.linalg.makediag
      • mx.nd.linalg.maketrian
      • mx.nd.linalg.potrf
      • mx.nd.linalg.potri
      • mx.nd.linalg.slogdet
      • mx.nd.linalg.sumlogdiag
      • mx.nd.linalg.syrk
      • mx.nd.linalg.trmm
      • mx.nd.linalg.trsm
      • mx.nd.norm
      • mx.nd.smooth.l1
      • mx.nd.arccos
      • mx.nd.arcsin
      • mx.nd.arctan
      • mx.nd.cos
      • mx.nd.degrees
      • mx.nd.radians
      • mx.nd.sin
      • mx.nd.tan
      • mx.nd.arccosh
      • mx.nd.arcsinh
      • mx.nd.arctanh
      • mx.nd.cosh
      • mx.nd.sinh
      • mx.nd.tanh
      • mx.nd.Activation
      • mx.nd.BatchNorm
      • mx.nd.BatchNorm.v1
      • mx.nd.BlockGrad
      • mx.nd.CTCLoss
      • mx.nd.Convolution
      • mx.nd.Convolution.v1
      • mx.nd.Correlation
      • mx.nd.Custom
      • mx.nd.Deconvolution
      • mx.nd.Dropout
      • mx.nd.Embedding
      • mx.nd.FullyConnected
      • mx.nd.IdentityAttachKLSparseReg
      • mx.nd.InstanceNorm
      • mx.nd.LRN
      • mx.nd.LayerNorm
      • mx.nd.LeakyReLU
      • mx.nd.LinearRegressionOutput
      • mx.nd.LogisticRegressionOutput
      • mx.nd.MAERegressionOutput
      • mx.nd.MakeLoss
      • mx.nd.Pooling
      • mx.nd.Pooling.v1
      • mx.nd.RNN
      • mx.nd.ROIPooling
      • mx.nd.SVMOutput
      • mx.nd.Softmax
      • mx.nd.SoftmaxActivation
      • mx.nd.SoftmaxOutput
      • mx.nd.SpatialTransformer
      • mx.nd.ctc.loss
      • mx.nd.hard.sigmoid
      • mx.nd.log.softmax
      • mx.nd.make.loss
      • mx.nd.relu
      • mx.nd.sigmoid
      • mx.nd.softmax.cross.entropy
      • mx.nd.softmin
      • mx.nd.softsign
      • mx.nd.stop.gradient
    • Symbol
      • arguments
      • children
      • graph.viz
      • internals
      • is.mx.symbol
      • mx.symbol.infer.shape
      • mx.symbol.shape_array
      • mx.symbol.size_array
      • outputs
      • mx.symbol.Group
      • mx.symbol.GroupNorm
      • mx.symbol.Variable
      • mx.symbol.one_hot
      • mx.symbol.ones_like
      • mx.symbol.zeros_like
      • mx.apply
      • mx.symbol.cast
      • mx.symbol.cast_storage
      • mx.symbol.load
      • mx.symbol.load.json
      • mx.symbol.save
      • mx.symbol.Concat
      • mx.symbol.Reshape
      • mx.symbol.flatten
      • mx.symbol.reshape_like
      • mx.symbol.scatter_nd
      • mx.symbol.split
      • mx.symbol.squeeze
      • mx.symbol.stack
      • mx.symbol.GridGenerator
      • mx.symbol.Pad
      • mx.symbol.UpSampling
      • mx.symbol.broadcast_add
      • mx.symbol.broadcast_axes
      • mx.symbol.broadcast_axis
      • mx.symbol.broadcast_div
      • mx.symbol.broadcast_equal
      • mx.symbol.broadcast_greater
      • mx.symbol.broadcast_greater_equal
      • mx.symbol.broadcast_hypot
      • mx.symbol.broadcast_lesser
      • mx.symbol.broadcast_lesser_equal
      • mx.symbol.broadcast_like
      • mx.symbol.broadcast_logical_and
      • mx.symbol.broadcast_logical_or
      • mx.symbol.broadcast_logical_xor
      • mx.symbol.broadcast_maximum
      • mx.symbol.broadcast_minimum
      • mx.symbol.broadcast_minus
      • mx.symbol.broadcast_mod
      • mx.symbol.broadcast_mul
      • mx.symbol.broadcast_not_equal
      • mx.symbol.broadcast_plus
      • mx.symbol.broadcast_power
      • mx.symbol.broadcast_sub
      • mx.symbol.broadcast_to
      • mx.symbol.expand_dims
      • mx.symbol.repeat
      • mx.symbol.tile
      • mx.symbol.SequenceReverse
      • mx.symbol.SwapAxis
      • mx.symbol.depth_to_space
      • mx.symbol.flip
      • mx.symbol.reverse
      • mx.symbol.shuffle
      • mx.symbol.space_to_depth
      • mx.symbol.swapaxes
      • mx.symbol.transpose
      • mx.symbol.argmax
      • mx.symbol.argmax_channel
      • mx.symbol.argmin
      • mx.symbol.argsort
      • mx.symbol.sort
      • mx.symbol.topk
      • mx.symbol.where
      • mx.symbol.Crop
      • mx.symbol.SequenceLast
      • mx.symbol.SequenceMask
      • mx.symbol.SliceChannel
      • mx.symbol.batch_take
      • mx.symbol.choose_element_0index
      • mx.symbol.diag
      • mx.symbol.fill_element_0index
      • mx.symbol.gather_nd
      • mx.symbol.pick
      • mx.symbol.ravel_multi_index
      • mx.symbol.slice
      • mx.symbol.slice_axis
      • mx.symbol.slice_like
      • mx.symbol.take
      • mx.symbol.unravel_index
      • mx.symbol.ElementWiseSum
      • mx.symbol.abs
      • mx.symbol.add_n
      • mx.symbol.all_finite
      • mx.symbol.cbrt
      • mx.symbol.cumsum
      • mx.symbol.elemwise_add
      • mx.symbol.elemwise_div
      • mx.symbol.elemwise_mul
      • mx.symbol.elemwise_sub
      • mx.symbol.erf
      • mx.symbol.erfinv
      • mx.symbol.exp
      • mx.symbol.expm1
      • mx.symbol.gamma
      • mx.symbol.gammaln
      • mx.symbol.identity
      • mx.symbol.log
      • mx.symbol.log10
      • mx.symbol.log1p
      • mx.symbol.log2
      • mx.symbol.logical_not
      • mx.symbol.moments
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_lars
      • mx.symbol.multi_sum_sq
      • mx.symbol.negative
      • mx.symbol.rcbrt
      • mx.symbol.reciprocal
      • mx.symbol.reset_arrays
      • mx.symbol.rsqrt
      • mx.symbol.sign
      • mx.symbol.sqrt
      • mx.symbol.square
      • mx.symbol.max
      • mx.symbol.max_axis
      • mx.symbol.mean
      • mx.symbol.nanprod
      • mx.symbol.nansum
      • mx.symbol.prod
      • mx.symbol.sum
      • mx.symbol.sum_axis
      • mx.symbol.ceil
      • mx.symbol.clip
      • mx.symbol.fix
      • mx.symbol.floor
      • mx.symbol.rint
      • mx.symbol.round
      • mx.symbol.trunc
      • mx.symbol.L2Normalization
      • mx.symbol.batch_dot
      • mx.symbol.dot
      • mx.symbol.khatri_rao
      • mx.symbol.linalg_det
      • mx.symbol.linalg_extractdiag
      • mx.symbol.linalg_extracttrian
      • mx.symbol.linalg_gelqf
      • mx.symbol.linalg_gemm
      • mx.symbol.linalg_gemm2
      • mx.symbol.linalg_inverse
      • mx.symbol.linalg_makediag
      • mx.symbol.linalg_maketrian
      • mx.symbol.linalg_potrf
      • mx.symbol.linalg_potri
      • mx.symbol.linalg_slogdet
      • mx.symbol.linalg_sumlogdiag
      • mx.symbol.linalg_syrk
      • mx.symbol.linalg_trmm
      • mx.symbol.linalg_trsm
      • mx.symbol.norm
      • mx.symbol.smooth_l1
      • mx.symbol.arccos
      • mx.symbol.arcsin
      • mx.symbol.arctan
      • mx.symbol.cos
      • mx.symbol.degrees
      • mx.symbol.radians
      • mx.symbol.sin
      • mx.symbol.tan
      • mx.symbol.arccosh
      • mx.symbol.arcsinh
      • mx.symbol.arctanh
      • mx.symbol.cosh
      • mx.symbol.sinh
      • mx.symbol.tanh
      • mx.symbol.Activation
      • mx.symbol.BatchNorm
      • mx.symbol.BatchNorm_v1
      • mx.symbol.BlockGrad
      • mx.symbol.CTCLoss
      • mx.symbol.Convolution
      • mx.symbol.Convolution_v1
      • mx.symbol.Correlation
      • mx.symbol.Custom
      • mx.symbol.Deconvolution
      • mx.symbol.Dropout
      • mx.symbol.Embedding
      • mx.symbol.FullyConnected
      • mx.symbol.IdentityAttachKLSparseReg
      • mx.symbol.InstanceNorm
      • mx.symbol.LRN
      • mx.symbol.LayerNorm
      • mx.symbol.LeakyReLU
      • mx.symbol.LinearRegressionOutput
      • mx.symbol.LogisticRegressionOutput
      • mx.symbol.MAERegressionOutput
      • mx.symbol.MakeLoss
      • mx.symbol.Pooling
      • mx.symbol.Pooling_v1
      • mx.symbol.RNN
      • mx.symbol.ROIPooling
      • mx.symbol.SVMOutput
      • mx.symbol.SoftmaxActivation
      • mx.symbol.SoftmaxOutput
      • mx.symbol.SpatialTransformer
      • mx.symbol.ctc_loss
      • mx.symbol.hard_sigmoid
      • mx.symbol.log_softmax
      • mx.symbol.make_loss
      • mx.symbol.relu
      • mx.symbol.sigmoid
      • mx.symbol.softmax
      • mx.symbol.softmax_cross_entropy
      • mx.symbol.softmin
      • mx.symbol.softsign
      • mx.symbol.stop_gradient
    • IO
      • mx.io.CSVIter
      • mx.io.LibSVMIter
      • mx.io.MNISTIter
      • mx.io.arrayiter
      • mx.io.bucket.iter
      • mx.io.extract
      • is.mx.dataiter
      • mx.io.ImageDetRecordIter
      • mx.io.ImageRecordInt8Iter
      • mx.io.ImageRecordIter
      • mx.io.ImageRecordIter_v1
      • mx.io.ImageRecordUInt8Iter
      • mx.io.ImageRecordUInt8Iter_v1
      • im2rec
    • Context
      • mx.cpu
      • mx.gpu
      • ctx
      • mx.ctx.default
      • is.mx.context
    • Model
      • mx.model.FeedForward.create
      • mx.model.buckets
      • mx.model.init.params
      • mx.model.load
      • mx.model.save
      • predict.MXFeedForwardModel
      • is.serialized
      • mx.serialize
      • mx.unserialize
      • mx.mlp
      • mx.infer.rnn
      • mx.infer.rnn.one
      • mx.infer.rnn.one.unroll
      • mx.nd.RNN
      • mx.symbol.RNN
      • rnn.graph
      • rnn.graph.unroll
    • Metric
      • mx.callback.log.train.metric
      • mx.metric.Perplexity
      • mx.metric.accuracy
      • mx.metric.custom
      • mx.metric.logistic_acc
      • mx.metric.logloss
      • mx.metric.mae
      • mx.metric.mse
      • mx.metric.rmse
      • mx.metric.rmsle
      • mx.metric.top_k_accuracy
    • Optimization
      • mx.opt.adadelta
      • mx.opt.adagrad
      • mx.opt.adam
      • mx.opt.create
      • mx.opt.get.updater
      • mx.opt.nag
      • mx.opt.rmsprop
      • mx.opt.sgd
      • mx.init.Xavier
      • mx.init.create
      • mx.init.internal.default
      • mx.init.normal
      • mx.init.uniform
      • mx.model.init.params
      • mx.lr_scheduler.FactorScheduler
      • mx.lr_scheduler.MultiFactorScheduler
      • mx.nd.adam.update
      • mx.nd.all.finite
      • mx.nd.ftml.update
      • mx.nd.ftrl.update
      • mx.nd.lamb.update.phase1
      • mx.nd.lamb.update.phase2
      • mx.nd.mp.lamb.update.phase1
      • mx.nd.mp.lamb.update.phase2
      • mx.nd.mp.nag.mom.update
      • mx.nd.mp.sgd.mom.update
      • mx.nd.mp.sgd.update
      • mx.nd.multi.all.finite
      • mx.nd.multi.mp.sgd.mom.update
      • mx.nd.multi.mp.sgd.update
      • mx.nd.multi.sgd.mom.update
      • mx.nd.multi.sgd.update
      • mx.nd.nag.mom.update
      • mx.nd.preloaded.multi.mp.sgd.mom.update
      • mx.nd.preloaded.multi.mp.sgd.update
      • mx.nd.preloaded.multi.sgd.mom.update
      • mx.nd.preloaded.multi.sgd.update
      • mx.nd.rmsprop.update
      • mx.nd.rmspropalex.update
      • mx.nd.sgd.mom.update
      • mx.nd.sgd.update
      • mx.nd.signsgd.update
      • mx.nd.signum.update
      • mx.symbol.adam_update
      • mx.symbol.all_finite
      • mx.symbol.ftml_update
      • mx.symbol.ftrl_update
      • mx.symbol.mp_sgd_mom_update
      • mx.symbol.mp_sgd_update
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_mp_sgd_mom_update
      • mx.symbol.multi_mp_sgd_update
      • mx.symbol.multi_sgd_mom_update
      • mx.symbol.multi_sgd_update
      • mx.symbol.preloaded_multi_mp_sgd_mom_update
      • mx.symbol.preloaded_multi_mp_sgd_update
      • mx.symbol.preloaded_multi_sgd_mom_update
      • mx.symbol.preloaded_multi_sgd_update
      • mx.symbol.sgd_mom_update
      • mx.symbol.sgd_update
      • mx.symbol.signsgd_update
      • mx.symbol.signum_update
    • Random Sampling
      • mx.rnorm
      • mx.runif
      • mx.set.seed
      • mx.nd.normal
      • mx.nd.random.exponential
      • mx.nd.random.gamma
      • mx.nd.random.generalized.negative.binomial
      • mx.nd.random.negative.binomial
      • mx.nd.random.normal
      • mx.nd.random.pdf.dirichlet
      • mx.nd.random.pdf.exponential
      • mx.nd.random.pdf.gamma
      • mx.nd.random.pdf.generalized.negative.binomial
      • mx.nd.random.pdf.negative.binomial
      • mx.nd.random.pdf.normal
      • mx.nd.random.pdf.poisson
      • mx.nd.random.pdf.uniform
      • mx.nd.random.poisson
      • mx.nd.random.randint
      • mx.nd.random.uniform
      • mx.nd.sample.exponential
      • mx.nd.sample.gamma
      • mx.nd.sample.generalized.negative.binomial
      • mx.nd.sample.multinomial
      • mx.nd.sample.negative.binomial
      • mx.nd.sample.normal
      • mx.nd.sample.poisson
      • mx.nd.sample.uniform
      • mx.nd.uniform
      • mx.symbol.random_exponential
      • mx.symbol.random_gamma
      • mx.symbol.random_generalized_negative_binomial
      • mx.symbol.random_negative_binomial
      • mx.symbol.random_normal
      • mx.symbol.random_pdf_dirichlet
      • mx.symbol.random_pdf_exponential
      • mx.symbol.random_pdf_gamma
      • mx.symbol.random_pdf_generalized_negative_binomial
      • mx.symbol.random_pdf_negative_binomial
      • mx.symbol.random_pdf_normal
      • mx.symbol.random_pdf_poisson
      • mx.symbol.random_pdf_uniform
      • mx.symbol.random_poisson
      • mx.symbol.random_randint
      • mx.symbol.random_uniform
      • mx.symbol.sample_exponential
      • mx.symbol.sample_gamma
      • mx.symbol.sample_generalized_negative_binomial
      • mx.symbol.sample_multinomial
      • mx.symbol.sample_negative_binomial
      • mx.symbol.sample_normal
      • mx.symbol.sample_poisson
      • mx.symbol.sample_uniform
      • mx.symbol.uniform
    • Monitoring
      • mx.callback.early.stop
      • mx.callback.log.speedometer
      • mx.callback.log.train.metric
      • mx.callback.save.checkpoint
      • mx.profiler.config
      • mx.profiler.state
    • Advanced
      • mx.kv.create
      • mx.exec.backward
      • mx.exec.forward
      • mx.exec.update.arg.arrays
      • mx.exec.update.aux.arrays
      • mx.exec.update.grad.arrays
      • mx.simple.bind
    • Complete Library
      • Ops.MXNDArray
      • arguments
      • as.array.MXNDArray
      • as.matrix.MXNDArray
      • children
      • ctx
      • dim.MXNDArray
      • graph.viz
      • im2rec
      • internals
      • is.mx.context
      • is.mx.dataiter
      • is.mx.ndarray
      • is.mx.symbol
      • is.serialized
      • length.MXNDArray
      • mx.apply
      • mx.callback.early.stop
      • mx.callback.log.speedometer
      • mx.callback.log.train.metric
      • mx.callback.save.checkpoint
      • mx.cpu
      • mx.ctx.default
      • mx.exec.backward
      • mx.exec.forward
      • mx.exec.update.arg.arrays
      • mx.exec.update.aux.arrays
      • mx.exec.update.grad.arrays
      • mx.gpu
      • mx.infer.rnn
      • mx.infer.rnn.one
      • mx.infer.rnn.one.unroll
      • mx.init.Xavier
      • mx.init.create
      • mx.init.internal.default
      • mx.init.normal
      • mx.init.uniform
      • mx.io.CSVIter
      • mx.io.ImageDetRecordIter
      • mx.io.ImageRecordInt8Iter
      • mx.io.ImageRecordIter
      • mx.io.ImageRecordIter_v1
      • mx.io.ImageRecordUInt8Iter
      • mx.io.ImageRecordUInt8Iter_v1
      • mx.io.LibSVMIter
      • mx.io.MNISTIter
      • mx.io.arrayiter
      • mx.io.bucket.iter
      • mx.io.extract
      • mx.kv.create
      • mx.lr_scheduler.FactorScheduler
      • mx.lr_scheduler.MultiFactorScheduler
      • mx.metric.Perplexity
      • mx.metric.accuracy
      • mx.metric.custom
      • mx.metric.logistic_acc
      • mx.metric.logloss
      • mx.metric.mae
      • mx.metric.mse
      • mx.metric.rmse
      • mx.metric.rmsle
      • mx.metric.top_k_accuracy
      • mx.mlp
      • mx.model.FeedForward.create
      • mx.model.buckets
      • mx.model.init.params
      • mx.model.load
      • mx.model.save
      • mx.nd.Activation
      • mx.nd.BatchNorm
      • mx.nd.BatchNorm.v1
      • mx.nd.BilinearSampler
      • mx.nd.BlockGrad
      • mx.nd.CTCLoss
      • mx.nd.Cast
      • mx.nd.Concat
      • mx.nd.Convolution
      • mx.nd.Convolution.v1
      • mx.nd.Correlation
      • mx.nd.Custom
      • mx.nd.Deconvolution
      • mx.nd.Dropout
      • mx.nd.ElementWiseSum
      • mx.nd.Embedding
      • mx.nd.FullyConnected
      • mx.nd.GridGenerator
      • mx.nd.GroupNorm
      • mx.nd.IdentityAttachKLSparseReg
      • mx.nd.InstanceNorm
      • mx.nd.L2Normalization
      • mx.nd.LRN
      • mx.nd.LayerNorm
      • mx.nd.LeakyReLU
      • mx.nd.LinearRegressionOutput
      • mx.nd.LogisticRegressionOutput
      • mx.nd.MAERegressionOutput
      • mx.nd.MakeLoss
      • mx.nd.Pooling
      • mx.nd.Pooling.v1
      • mx.nd.RNN
      • mx.nd.ROIPooling
      • mx.nd.Reshape
      • mx.nd.SVMOutput
      • mx.nd.SequenceLast
      • mx.nd.SequenceMask
      • mx.nd.SequenceReverse
      • mx.nd.SliceChannel
      • mx.nd.Softmax
      • mx.nd.SoftmaxActivation
      • mx.nd.SoftmaxOutput
      • mx.nd.SpatialTransformer
      • mx.nd.SwapAxis
      • mx.nd.UpSampling
      • mx.nd.abs
      • mx.nd.adam.update
      • mx.nd.add.n
      • mx.nd.all.finite
      • mx.nd.amp.cast
      • mx.nd.amp.multicast
      • mx.nd.arccos
      • mx.nd.arccosh
      • mx.nd.arcsin
      • mx.nd.arcsinh
      • mx.nd.arctan
      • mx.nd.arctanh
      • mx.nd.argmax
      • mx.nd.argmax.channel
      • mx.nd.argmin
      • mx.nd.argsort
      • mx.nd.array
      • mx.nd.batch.dot
      • mx.nd.batch.take
      • mx.nd.broadcast.add
      • mx.nd.broadcast.axes
      • mx.nd.broadcast.axis
      • mx.nd.broadcast.div
      • mx.nd.broadcast.equal
      • mx.nd.broadcast.greater
      • mx.nd.broadcast.greater.equal
      • mx.nd.broadcast.hypot
      • mx.nd.broadcast.lesser
      • mx.nd.broadcast.lesser.equal
      • mx.nd.broadcast.like
      • mx.nd.broadcast.logical.and
      • mx.nd.broadcast.logical.or
      • mx.nd.broadcast.logical.xor
      • mx.nd.broadcast.maximum
      • mx.nd.broadcast.minimum
      • mx.nd.broadcast.minus
      • mx.nd.broadcast.mod
      • mx.nd.broadcast.mul
      • mx.nd.broadcast.not.equal
      • mx.nd.broadcast.plus
      • mx.nd.broadcast.power
      • mx.nd.broadcast.sub
      • mx.nd.broadcast.to
      • mx.nd.cast.storage
      • mx.nd.cbrt
      • mx.nd.ceil
      • mx.nd.choose.element.0index
      • mx.nd.clip
      • mx.nd.copyto
      • mx.nd.cos
      • mx.nd.cosh
      • mx.nd.crop
      • mx.nd.ctc.loss
      • mx.nd.cumsum
      • mx.nd.degrees
      • mx.nd.depth.to.space
      • mx.nd.diag
      • mx.nd.dot
      • mx.nd.elemwise.add
      • mx.nd.elemwise.div
      • mx.nd.elemwise.mul
      • mx.nd.elemwise.sub
      • mx.nd.erf
      • mx.nd.erfinv
      • mx.nd.exp
      • mx.nd.expand.dims
      • mx.nd.expm1
      • mx.nd.fill.element.0index
      • mx.nd.fix
      • mx.nd.flatten
      • mx.nd.flip
      • mx.nd.floor
      • mx.nd.ftml.update
      • mx.nd.ftrl.update
      • mx.nd.gamma
      • mx.nd.gammaln
      • mx.nd.gather.nd
      • mx.nd.hard.sigmoid
      • mx.nd.identity
      • mx.nd.khatri.rao
      • mx.nd.lamb.update.phase1
      • mx.nd.lamb.update.phase2
      • mx.nd.linalg.det
      • mx.nd.linalg.extractdiag
      • mx.nd.linalg.extracttrian
      • mx.nd.linalg.gelqf
      • mx.nd.linalg.gemm
      • mx.nd.linalg.gemm2
      • mx.nd.linalg.inverse
      • mx.nd.linalg.makediag
      • mx.nd.linalg.maketrian
      • mx.nd.linalg.potrf
      • mx.nd.linalg.potri
      • mx.nd.linalg.slogdet
      • mx.nd.linalg.sumlogdiag
      • mx.nd.linalg.syrk
      • mx.nd.linalg.trmm
      • mx.nd.linalg.trsm
      • mx.nd.load
      • mx.nd.log
      • mx.nd.log.softmax
      • mx.nd.log10
      • mx.nd.log1p
      • mx.nd.log2
      • mx.nd.logical.not
      • mx.nd.make.loss
      • mx.nd.max
      • mx.nd.max.axis
      • mx.nd.mean
      • mx.nd.min
      • mx.nd.min.axis
      • mx.nd.moments
      • mx.nd.mp.lamb.update.phase1
      • mx.nd.mp.lamb.update.phase2
      • mx.nd.mp.nag.mom.update
      • mx.nd.mp.sgd.mom.update
      • mx.nd.mp.sgd.update
      • mx.nd.multi.all.finite
      • mx.nd.multi.lars
      • mx.nd.multi.mp.sgd.mom.update
      • mx.nd.multi.mp.sgd.update
      • mx.nd.multi.sgd.mom.update
      • mx.nd.multi.sgd.update
      • mx.nd.multi.sum.sq
      • mx.nd.nag.mom.update
      • mx.nd.nanprod
      • mx.nd.nansum
      • mx.nd.negative
      • mx.nd.norm
      • mx.nd.normal
      • mx.nd.one.hot
      • mx.nd.ones
      • mx.nd.ones.like
      • mx.nd.pad
      • mx.nd.pick
      • mx.nd.preloaded.multi.mp.sgd.mom.update
      • mx.nd.preloaded.multi.mp.sgd.update
      • mx.nd.preloaded.multi.sgd.mom.update
      • mx.nd.preloaded.multi.sgd.update
      • mx.nd.prod
      • mx.nd.radians
      • mx.nd.random.exponential
      • mx.nd.random.gamma
      • mx.nd.random.generalized.negative.binomial
      • mx.nd.random.negative.binomial
      • mx.nd.random.normal
      • mx.nd.random.pdf.dirichlet
      • mx.nd.random.pdf.exponential
      • mx.nd.random.pdf.gamma
      • mx.nd.random.pdf.generalized.negative.binomial
      • mx.nd.random.pdf.negative.binomial
      • mx.nd.random.pdf.normal
      • mx.nd.random.pdf.poisson
      • mx.nd.random.pdf.uniform
      • mx.nd.random.poisson
      • mx.nd.random.randint
      • mx.nd.random.uniform
      • mx.nd.ravel.multi.index
      • mx.nd.rcbrt
      • mx.nd.reciprocal
      • mx.nd.relu
      • mx.nd.repeat
      • mx.nd.reset.arrays
      • mx.nd.reshape.like
      • mx.nd.reverse
      • mx.nd.rint
      • mx.nd.rmsprop.update
      • mx.nd.rmspropalex.update
      • mx.nd.round
      • mx.nd.rsqrt
      • mx.nd.sample.exponential
      • mx.nd.sample.gamma
      • mx.nd.sample.generalized.negative.binomial
      • mx.nd.sample.multinomial
      • mx.nd.sample.negative.binomial
      • mx.nd.sample.normal
      • mx.nd.sample.poisson
      • mx.nd.sample.uniform
      • mx.nd.save
      • mx.nd.scatter.nd
      • mx.nd.sgd.mom.update
      • mx.nd.sgd.update
      • mx.nd.shape.array
      • mx.nd.shuffle
      • mx.nd.sigmoid
      • mx.nd.sign
      • mx.nd.signsgd.update
      • mx.nd.signum.update
      • mx.nd.sin
      • mx.nd.sinh
      • mx.nd.size.array
      • mx.nd.slice.axis
      • mx.nd.slice.like
      • mx.nd.smooth.l1
      • mx.nd.softmax.cross.entropy
      • mx.nd.softmin
      • mx.nd.softsign
      • mx.nd.sort
      • mx.nd.space.to.depth
      • mx.nd.split
      • mx.nd.sqrt
      • mx.nd.square
      • mx.nd.squeeze
      • mx.nd.stack
      • mx.nd.stop.gradient
      • mx.nd.sum
      • mx.nd.sum.axis
      • mx.nd.swapaxes
      • mx.nd.take
      • mx.nd.tan
      • mx.nd.tanh
      • mx.nd.tile
      • mx.nd.topk
      • mx.nd.transpose
      • mx.nd.trunc
      • mx.nd.uniform
      • mx.nd.unravel.index
      • mx.nd.where
      • mx.nd.zeros
      • mx.nd.zeros.like
      • mx.opt.adadelta
      • mx.opt.adagrad
      • mx.opt.adam
      • mx.opt.create
      • mx.opt.get.updater
      • mx.opt.nag
      • mx.opt.rmsprop
      • mx.opt.sgd
      • mx.profiler.config
      • mx.profiler.state
      • mx.rnorm
      • mx.runif
      • mx.serialize
      • mx.set.seed
      • mx.simple.bind
      • mx.symbol.Activation
      • mx.symbol.BatchNorm
      • mx.symbol.BatchNorm_v1
      • mx.symbol.BilinearSampler
      • mx.symbol.BlockGrad
      • mx.symbol.CTCLoss
      • mx.symbol.Concat
      • mx.symbol.Convolution
      • mx.symbol.Convolution_v1
      • mx.symbol.Correlation
      • mx.symbol.Crop
      • mx.symbol.Custom
      • mx.symbol.Deconvolution
      • mx.symbol.Dropout
      • mx.symbol.ElementWiseSum
      • mx.symbol.Embedding
      • mx.symbol.FullyConnected
      • mx.symbol.GridGenerator
      • mx.symbol.Group
      • mx.symbol.GroupNorm
      • mx.symbol.IdentityAttachKLSparseReg
      • mx.symbol.InstanceNorm
      • mx.symbol.L2Normalization
      • mx.symbol.LRN
      • mx.symbol.LayerNorm
      • mx.symbol.LeakyReLU
      • mx.symbol.LinearRegressionOutput
      • mx.symbol.LogisticRegressionOutput
      • mx.symbol.MAERegressionOutput
      • mx.symbol.MakeLoss
      • mx.symbol.Pad
      • mx.symbol.Pooling
      • mx.symbol.Pooling_v1
      • mx.symbol.RNN
      • mx.symbol.ROIPooling
      • mx.symbol.Reshape
      • mx.symbol.SVMOutput
      • mx.symbol.SequenceLast
      • mx.symbol.SequenceMask
      • mx.symbol.SequenceReverse
      • mx.symbol.SliceChannel
      • mx.symbol.SoftmaxActivation
      • mx.symbol.SoftmaxOutput
      • mx.symbol.SpatialTransformer
      • mx.symbol.SwapAxis
      • mx.symbol.UpSampling
      • mx.symbol.Variable
      • mx.symbol.abs
      • mx.symbol.adam_update
      • mx.symbol.add_n
      • mx.symbol.all_finite
      • mx.symbol.amp_cast
      • mx.symbol.amp_multicast
      • mx.symbol.arccos
      • mx.symbol.arccosh
      • mx.symbol.arcsin
      • mx.symbol.arcsinh
      • mx.symbol.arctan
      • mx.symbol.arctanh
      • mx.symbol.argmax
      • mx.symbol.argmax_channel
      • mx.symbol.argmin
      • mx.symbol.argsort
      • mx.symbol.batch_dot
      • mx.symbol.batch_take
      • mx.symbol.broadcast_add
      • mx.symbol.broadcast_axes
      • mx.symbol.broadcast_axis
      • mx.symbol.broadcast_div
      • mx.symbol.broadcast_equal
      • mx.symbol.broadcast_greater
      • mx.symbol.broadcast_greater_equal
      • mx.symbol.broadcast_hypot
      • mx.symbol.broadcast_lesser
      • mx.symbol.broadcast_lesser_equal
      • mx.symbol.broadcast_like
      • mx.symbol.broadcast_logical_and
      • mx.symbol.broadcast_logical_or
      • mx.symbol.broadcast_logical_xor
      • mx.symbol.broadcast_maximum
      • mx.symbol.broadcast_minimum
      • mx.symbol.broadcast_minus
      • mx.symbol.broadcast_mod
      • mx.symbol.broadcast_mul
      • mx.symbol.broadcast_not_equal
      • mx.symbol.broadcast_plus
      • mx.symbol.broadcast_power
      • mx.symbol.broadcast_sub
      • mx.symbol.broadcast_to
      • mx.symbol.cast
      • mx.symbol.cast_storage
      • mx.symbol.cbrt
      • mx.symbol.ceil
      • mx.symbol.choose_element_0index
      • mx.symbol.clip
      • mx.symbol.cos
      • mx.symbol.cosh
      • mx.symbol.ctc_loss
      • mx.symbol.cumsum
      • mx.symbol.degrees
      • mx.symbol.depth_to_space
      • mx.symbol.diag
      • mx.symbol.dot
      • mx.symbol.elemwise_add
      • mx.symbol.elemwise_div
      • mx.symbol.elemwise_mul
      • mx.symbol.elemwise_sub
      • mx.symbol.erf
      • mx.symbol.erfinv
      • mx.symbol.exp
      • mx.symbol.expand_dims
      • mx.symbol.expm1
      • mx.symbol.fill_element_0index
      • mx.symbol.fix
      • mx.symbol.flatten
      • mx.symbol.flip
      • mx.symbol.floor
      • mx.symbol.ftml_update
      • mx.symbol.ftrl_update
      • mx.symbol.gamma
      • mx.symbol.gammaln
      • mx.symbol.gather_nd
      • mx.symbol.hard_sigmoid
      • mx.symbol.identity
      • mx.symbol.infer.shape
      • mx.symbol.khatri_rao
      • mx.symbol.lamb_update_phase1
      • mx.symbol.lamb_update_phase2
      • mx.symbol.linalg_det
      • mx.symbol.linalg_extractdiag
      • mx.symbol.linalg_extracttrian
      • mx.symbol.linalg_gelqf
      • mx.symbol.linalg_gemm
      • mx.symbol.linalg_gemm2
      • mx.symbol.linalg_inverse
      • mx.symbol.linalg_makediag
      • mx.symbol.linalg_maketrian
      • mx.symbol.linalg_potrf
      • mx.symbol.linalg_potri
      • mx.symbol.linalg_slogdet
      • mx.symbol.linalg_sumlogdiag
      • mx.symbol.linalg_syrk
      • mx.symbol.linalg_trmm
      • mx.symbol.linalg_trsm
      • mx.symbol.load
      • mx.symbol.load.json
      • mx.symbol.log
      • mx.symbol.log10
      • mx.symbol.log1p
      • mx.symbol.log2
      • mx.symbol.log_softmax
      • mx.symbol.logical_not
      • mx.symbol.make_loss
      • mx.symbol.max
      • mx.symbol.max_axis
      • mx.symbol.mean
      • mx.symbol.moments
      • mx.symbol.mp_lamb_update_phase1
      • mx.symbol.mp_lamb_update_phase2
      • mx.symbol.mp_nag_mom_update
      • mx.symbol.mp_sgd_mom_update
      • mx.symbol.mp_sgd_update
      • mx.symbol.multi_all_finite
      • mx.symbol.multi_lars
      • mx.symbol.multi_mp_sgd_mom_update
      • mx.symbol.multi_mp_sgd_update
      • mx.symbol.multi_sgd_mom_update
      • mx.symbol.multi_sgd_update
      • mx.symbol.multi_sum_sq
      • mx.symbol.nag_mom_update
      • mx.symbol.nanprod
      • mx.symbol.nansum
      • mx.symbol.negative
      • mx.symbol.norm
      • mx.symbol.normal
      • mx.symbol.one_hot
      • mx.symbol.ones_like
      • mx.symbol.pick
      • mx.symbol.preloaded_multi_mp_sgd_mom_update
      • mx.symbol.preloaded_multi_mp_sgd_update
      • mx.symbol.preloaded_multi_sgd_mom_update
      • mx.symbol.preloaded_multi_sgd_update
      • mx.symbol.prod
      • mx.symbol.radians
      • mx.symbol.random_exponential
      • mx.symbol.random_gamma
      • mx.symbol.random_generalized_negative_binomial
      • mx.symbol.random_negative_binomial
      • mx.symbol.random_normal
      • mx.symbol.random_pdf_dirichlet
      • mx.symbol.random_pdf_exponential
      • mx.symbol.random_pdf_gamma
      • mx.symbol.random_pdf_generalized_negative_binomial
      • mx.symbol.random_pdf_negative_binomial
      • mx.symbol.random_pdf_normal
      • mx.symbol.random_pdf_poisson
      • mx.symbol.random_pdf_uniform
      • mx.symbol.random_poisson
      • mx.symbol.random_randint
      • mx.symbol.random_uniform
      • mx.symbol.ravel_multi_index
      • mx.symbol.rcbrt
      • mx.symbol.reciprocal
      • mx.symbol.relu
      • mx.symbol.repeat
      • mx.symbol.reset_arrays
      • mx.symbol.reshape_like
      • mx.symbol.reverse
      • mx.symbol.rint
      • mx.symbol.rmsprop_update
      • mx.symbol.rmspropalex_update
      • mx.symbol.round
      • mx.symbol.rsqrt
      • mx.symbol.sample_exponential
      • mx.symbol.sample_gamma
      • mx.symbol.sample_generalized_negative_binomial
      • mx.symbol.sample_multinomial
      • mx.symbol.sample_negative_binomial
      • mx.symbol.sample_normal
      • mx.symbol.sample_poisson
      • mx.symbol.sample_uniform
      • mx.symbol.save
      • mx.symbol.scatter_nd
      • mx.symbol.sgd_mom_update
      • mx.symbol.sgd_update
      • mx.symbol.shape_array
      • mx.symbol.shuffle
      • mx.symbol.sigmoid
      • mx.symbol.sign
      • mx.symbol.signsgd_update
      • mx.symbol.signum_update
      • mx.symbol.sin
      • mx.symbol.sinh
      • mx.symbol.size_array
      • mx.symbol.slice
      • mx.symbol.slice_axis
      • mx.symbol.slice_like
      • mx.symbol.smooth_l1
      • mx.symbol.softmax
      • mx.symbol.softmax_cross_entropy
      • mx.symbol.softmin
      • mx.symbol.softsign
      • mx.symbol.sort
      • mx.symbol.space_to_depth
      • mx.symbol.split
      • mx.symbol.sqrt
      • mx.symbol.square
      • mx.symbol.squeeze
      • mx.symbol.stack
      • mx.symbol.stop_gradient
      • mx.symbol.sum
      • mx.symbol.sum_axis
      • mx.symbol.swapaxes
      • mx.symbol.take
      • mx.symbol.tan
      • mx.symbol.tanh
      • mx.symbol.tile
      • mx.symbol.topk
      • mx.symbol.transpose
      • mx.symbol.trunc
      • mx.symbol.uniform
      • mx.symbol.unravel_index
      • mx.symbol.where
      • mx.symbol.zeros_like
      • mx.unserialize
      • outputs
      • predict.MXFeedForwardModel
      • print.MXNDArray
      • rnn.graph
      • rnn.graph.unroll
  • MXNet R Tutorials
    • Develop a Neural Network with MXNet in Five Minutes
    • Handwritten Digits Image Classification
    • Classify Images with a PreTrained Model
    • Character-level Language Model using RNN
    • LSTM Time Series Example
    • NDArray: Vectorized Tensor Computations on CPUs and GPUs
    • Symbol and Automatic Differentiation
    • Callback Functions
    • Custom Loss Function
    • Custom Iterator Tutorial

MXNet API for R¶

This section contains documentation for the R version of MXNet.

To instead view documentation directly in your R console, enter:

library(mxnet); help(mxnet)

and then click on Index in the Help window that appears.

  • NDArray
    • The core MXNet data structure for all mathematical operations
    • Get array attributes
    • Create arrays
    • Manipulation of arrays
    • Mathematical operations on arrays
    • Neural network array operations
  • Symbol
    • Symbolic programming with computation graphs
    • Get symbol attributes
    • Create symbols
    • Manipulation of symbols
    • Mathematical operations on symbols
    • Neural network symbol operations
  • IO
    • Efficient distributed data loading and augmentation
    • Loading image data
  • Context
    • Manage device type and id where computations are carried out
  • Model
    • Create, load/save, and use MXNet models
  • Metric
    • Evaluation metrics to measure model performance
  • Optimization
    • Initialize and update model weights during training
    • Optimizers
    • Initialization
    • Learning rate schedule
    • Optimizer updates (NDArray)
    • Optimizer updates (Symbol)
  • Random Sampling
    • Random number generation in MXNet
    • Random NDArrays
    • Random Symbols
  • Monitoring
    • Callback: Functions to track various status during an epoch
    • Profiler: Running time and memory consumption of MXNet models
  • Advanced
    • Key-Value Store: Operate over multiple devices (GPUs) on a single device
    • Executor: Internal classes for managing symbolic graph execution
  • Complete Library
    • List of all MXNet functions available in R
Previous
MXNet in R
Next
NDArray

Resources

  • Dev list
  • User mailing list
  • Developer Wiki
  • Jira Tracker
  • Github Roadmap
  • MXNet Discuss forum
  • Contribute To MXNet
  • apache/incubator-mxnet
  • apachemxnet
  • apachemxnet

A flexible and efficient library for deep learning.

Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

"Copyright © 2017-2018, The Apache Software Foundation Apache MXNet, MXNet, Apache, the Apache feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the Apache Software Foundation."