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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 |
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| .. | ||
| beam_search.py | ||
| seq2seq_model_helper.py | ||
| seq2seq_util.py | ||
| train.py | ||
| translate.py | ||