list of deep learning packages in R previous post – Apache Spark : steps to Start worker across cluster
Complete list of Deep Learning package in R
R Package
Description
nnet
Software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.
neuralnet
Training of neural networks using backpropagation
h2o
R scripting functionality for H2O
RSNNS
Interface to the Stuttgart Neural Network Simulator (SNNS)
tensorflow
Interface to TensorFlow
deepnet
Deep learning toolkit in R
darch
Package for Deep Architectures and Restricted Boltzmann Machines
rnn
Package to implement Recurrent Neural Networks (RRNs)
FCNN4R
Interface to the FCNN library that allows user-extensible ANNs
rcppDL
Implementation of basic machine learning methods with many layers (deep learning), including dA (Denoising Autoencoder), SdA (Stacked Denoising Autoencoder), RBM (Restricted Boltzmann machine) and DBN (Deep Belief Nets)
deepr
Package to streamline the training, fine-tuning and predicting processes for deep learning based on darch and deepnet
MXNetR
Package that brings flexible and efficient GPU computing and state-of-art deep learning to R
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