Index

_ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Z

_

A

B

C

D

E

F

G

H

I

K

KLDivLoss (class in mxnet.gluon.loss)

KVStore (class in mxnet.kvstore)

L

load_data_batch() (mxnet.executor_manager.DataParallelExecutorGroup method)
- (mxnet.executor_manager.DataParallelExecutorManager method)
load_json() (in module mxnet.symbol)
load_optimizer_states() (mxnet.kvstore.KVStore method)
- (mxnet.module.Module method)
load_params() (mxnet.gluon.Block method)
- (mxnet.module.BaseModule method)
load_rnn_checkpoint() (mxnet.rnn method)
load_states() (mxnet.gluon.Trainer method)
log() (in module mxnet.ndarray)
- (in module mxnet.ndarray.sparse)
- (in module mxnet.symbol)
- (in module mxnet.symbol.sparse)
- (mxnet.ndarray.NDArray method)
- (mxnet.symbol.Symbol method)
log10() (in module mxnet.ndarray)
- (in module mxnet.ndarray.sparse)
- (in module mxnet.symbol)
- (in module mxnet.symbol.sparse)
- (mxnet.ndarray.NDArray method)
- (mxnet.symbol.Symbol method)
log1p() (in module mxnet.ndarray)
- (in module mxnet.ndarray.sparse)
- (in module mxnet.symbol)
- (in module mxnet.symbol.sparse)
- (mxnet.ndarray.NDArray method)
- (mxnet.ndarray.sparse.RowSparseNDArray method)
- (mxnet.symbol.Symbol method)
log2() (in module mxnet.ndarray)
- (in module mxnet.ndarray.sparse)
- (in module mxnet.symbol)
- (in module mxnet.symbol.sparse)
- (mxnet.ndarray.NDArray method)
- (mxnet.symbol.Symbol method)
log_softmax() (in module mxnet.ndarray)
- (in module mxnet.symbol)
- (mxnet.ndarray.NDArray method)
- (mxnet.symbol.Symbol method)
log_train_metric() (in module mxnet.callback)
LogisticLoss (class in mxnet.gluon.loss)
LogisticRegressionOutput() (in module mxnet.ndarray)
- (in module mxnet.symbol)
LogValidationMetricsCallback (class in mxnet.callback)
Loss (class in mxnet.gluon.loss)
- (class in mxnet.metric)
lr_mult (mxnet.gluon.Parameter attribute)
LRN() (in module mxnet.ndarray)
- (in module mxnet.symbol)
LRScheduler (class in mxnet.lr_scheduler)
LSTM (class in mxnet.gluon.rnn)
LSTMBias (class in mxnet.initializer)
LSTMCell (class in mxnet.gluon.rnn)
- (class in mxnet.rnn)

M

N

O

P

Q

quantize() (in module mxnet.ndarray.contrib)
- (in module mxnet.symbol.contrib)

R

S

T

U

V

W

X

Xavier (class in mxnet.initializer)

Z

ZoneoutCell (class in mxnet.gluon.rnn)
- (class in mxnet.rnn)

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.

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