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This directory contains functions for creating recurrent neural networks and sequence-to-sequence models. Detailed instructions on how to get started and use them are available in the tutorials.

Here is a short overview of what is in this directory.

File What's in it?
ptb/ PTB language model, see the RNN Tutorial
translate/ Translation model, see the Sequence-to-Sequence Tutorial
linear.py Basic helper functions for creating linear layers (moved to tf.nn, deprecated in favor of layers).
linear_test.py Unit tests for linear.py (moved into TF core).
rnn_cell.py Cells for recurrent neural networks, e.g., LSTM (moved to tf.nn.rnn_cell).
rnn_cell_test.py Unit tests for rnn_cell.py (moved into TF core).
rnn.py Functions for building recurrent neural networks (functions moved into in tf.nn).
rnn_test.py Unit tests for rnn.py (moved into TF core).
seq2seq.py Functions for building sequence-to-sequence models (moved to tf.nn.seq2seq).
seq2seq_test.py Unit tests for seq2seq.py (moved into TF core).