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Recurrent Batch Normalization

Batch-Normalized LSTMs

Tim Cooijmans, Nicolas Ballas, César Laurent, Çağlar Gülçehre, Aaron Courville

http://arxiv.org/abs/1603.09025

Usage

local rnn = LSTM(input_size, rnn_size, n, dropout, bn)

n = number of layers (1-N)

dropout = probability of dropping a neuron (0-1)

bn = batch normalization (true, false)

Example

https://github.com/iassael/char-rnn

Performance

Validation scores on char-rnn with default options

Implemented in Torch by Yannis M. Assael (www.yannisassael.com)

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Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.

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