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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 |
