1nF0rmed
/ hello_sequence.py
Created
October 28, 2017 17:21
— forked from pannous/hello_sequence.py
Simple "Hello World" for tensorflow seq2seq model
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| """Sequence-to-sequence model with an attention mechanism.""" | |
| # see https://www.tensorflow.org/versions/r0.10/tutorials/seq2seq/index.html | |
| # compare https://github.com/tflearn/tflearn/blob/master/examples/nlp/seq2seq_example.py | |
| from __future__ import print_function | |
| import numpy as np | |
| import tensorflow as tf | |
| vocab_size=256 # We are lazy, so we avoid fency mapping and just use one *class* per character/byte | |
| target_vocab_size=vocab_size | |
| learning_rate=0.1 |