Yury Zemlyanskiy 4bf559eddb RNNCell, LSTMCell, LSTMWithAttentionCell ...

Summary: This is the nice way to re-use RNN layers for training and for inference.

Reviewed By: salexspb

Differential Revision: D4825894

fbshipit-source-id: 779c69758cee8caca6f36bc507e3ea0566f7652a

2017-04-18 00:47:20 -07:00

..

char_rnn.py

doxygen python block added

2017-03-29 06:46:16 -07:00

lmdb_create_example.py

doxygen python block added

2017-03-29 06:46:16 -07:00

resnet50_trainer.py

Add throughput information to resnet50_trainer

2017-04-12 17:46:14 -07:00

seq2seq_util.py

RNNCell, LSTMCell, LSTMWithAttentionCell

2017-04-18 00:47:20 -07:00

seq2seq.py

RNNCell, LSTMCell, LSTMWithAttentionCell

2017-04-18 00:47:20 -07:00