Model

Create, load/save, and use MXNet models

mx.model.FeedForward.create	Create a MXNet Feedforward neural net model with the specified training
mx.model.buckets	Train RNN with bucket support
mx.model.init.params	Parameter initialization
mx.model.load	Load model checkpoint from file
mx.model.save	Save model checkpoint into file
predict.MXFeedForwardModel	Predict the outputs given a model and dataset
is.serialized	Check if the model has been serialized into RData-compatiable format
mx.serialize	Serialize MXNet model into RData-compatiable format
mx.unserialize	Unserialize MXNet model from Robject
mx.mlp	Convenience interface for multiple layer perceptron
mx.infer.rnn	Inference of RNN model
mx.infer.rnn.one	Inference for one-to-one fusedRNN (CUDA) models
mx.infer.rnn.one.unroll	Inference for one-to-one unroll models
mx.nd.RNN	Applies recurrent layers to input data
mx.symbol.RNN	Applies recurrent layers to input data
rnn.graph	Generate a RNN symbolic model - requires CUDA
rnn.graph.unroll	Unroll representation of RNN running on non CUDA device