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Commits on Jul 9, 2018
outputs/ -> output
JasonShin
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e6004da
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word2vec: self.embedding for restoration in the future
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word2vec: train code done
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word2vec: get_batch from data class
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word2vec: data load done
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word2vec: wip data API
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word2vec: wip: train.py
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word2vec implementing train_batch
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word2vec: implementing model compile
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Commits on Jul 8, 2018
word2vec
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word2vec: working on the model
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word2vec:
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some write up about word2vec
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Commits on Jun 23, 2018
fixing inference; removing fixing tf.global_variables_initizlier()
jasons
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Commits on Jun 21, 2018
restoring checkpoint if it exists
jasons
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e6de3a6
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removing scalars
jasons
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bleu score; more sample questions; writing to tensorboard -> training and validation loss
jasons
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correcting learning_rate =learning_rate; checking accuracy
jasons
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removing manual learning decay from the train.py
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exponential decay in the model
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Commits on Jun 20, 2018
seq2seq simple inference
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urllib
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better hparam
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Commits on Jun 19, 2018
floyd: test prefix fixed; urlopen removed
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args update input output in makefile
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makefile update for nmt training on floydhub
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train test dev vocab save to files
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saving files
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wip: train test dev split
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7b39b02
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working on chatbot advanced using nmt
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adding TF nmt latest
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Commits on Jun 18, 2018
sampling when loss is greater than global min
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using the hparams from the tutorial
jasons
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seq2seq flags
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batch size 16 and LR 1e-3
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