Deprecated library for creating sequence-to-sequence models in TensorFlow.
attention_decoder(...): RNN decoder with attention for the sequence-to-sequence model.
basic_rnn_seq2seq(...): Basic RNN sequence-to-sequence model.
embedding_attention_decoder(...): RNN decoder with embedding and attention and a pure-decoding option.
embedding_attention_seq2seq(...): Embedding sequence-to-sequence model with attention.
embedding_rnn_decoder(...): RNN decoder with embedding and a pure-decoding option.
embedding_rnn_seq2seq(...): Embedding RNN sequence-to-sequence model.
embedding_tied_rnn_seq2seq(...): Embedding RNN sequence-to-sequence model with tied (shared) parameters.
model_with_buckets(...): Create a sequence-to-sequence model with support for bucketing.
one2many_rnn_seq2seq(...): One-to-many RNN sequence-to-sequence model (multi-task).
rnn_decoder(...): RNN decoder for the sequence-to-sequence model.
sequence_loss(...): Weighted cross-entropy loss for a sequence of logits, batch-collapsed.
sequence_loss_by_example(...): Weighted cross-entropy loss for a sequence of logits (per example).
tied_rnn_seq2seq(...): RNN sequence-to-sequence model with tied encoder and decoder parameters.