pytorch/caffe2/python/models
Yury Zemlyanskiy 11052d03aa RNNCell API change: returns states and outputs
Summary:
Incorporating definition of cell's output and illustraing it's usage by adding dropout to all types of cell.

I think that we should try to get rid of aliases in RecurrentNetwork, so output of applied_over_sequence is also always (state_1_all, state_2_all, ...). This way we can merge get_output_from_single_step, get_output_from_sequence and get_outputs_with_grads into a single method

Let me know what do you think!

Reviewed By: jhcross

Differential Revision: D4992913

fbshipit-source-id: 737939be336ad145f84e8733cd255d4f7188ef70
2017-05-08 15:19:48 -07:00
..
seq2seq RNNCell API change: returns states and outputs 2017-05-08 15:19:48 -07:00
__sym_init__.py exec_net --> predict_net 2017-03-23 16:31:49 -07:00
download.py fix download progress bar's percentage exceed 100% 2017-04-20 10:41:06 -07:00
resnet.py doxygen python block added 2017-03-29 06:46:16 -07:00