# Neural Network Factory

Neural network factory provide convenient helper functions to define common neural networks.

# MXNet.mx.MLPMethod.

MLP(input, spec; hidden_activation = :relu, prefix)


Construct a multi-layer perceptron. A MLP is a multi-layer neural network with fully connected layers.

Arguments:

• input::SymbolicNode: the input to the mlp.
• spec: the mlp specification, a list of hidden dimensions. For example, [128, (512, :sigmoid), 10]. The number in the list indicate the number of hidden units in each layer. A tuple could be used to specify the activation of each layer. Otherwise, the default activation will be used (except for the last layer).
• hidden_activation::Symbol: keyword argument, default :relu, indicating the default activation for hidden layers. The specification here could be overwritten by layer-wise specification in the spec argument. Also activation is not applied to the last, i.e. the prediction layer. See Activation for a list of supported activation types.
• prefix: keyword argument, default gensym(), used as the prefix to name the constructed layers.

Returns the constructed MLP.