NX-G
/ tf_lstm.py
Created
August 24, 2018 12:29
— forked from siemanko/tf_lstm.py
Simple implementation of LSTM in Tensorflow in 50 lines (+ 130 lines of data generation and comments)
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| """Short and sweet LSTM implementation in Tensorflow. | |
| Motivation: | |
| When Tensorflow was released, adding RNNs was a bit of a hack - it required | |
| building separate graphs for every number of timesteps and was a bit obscure | |
| to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`. | |
| Currently the APIs are decent, but all the tutorials that I am aware of are not | |
| making the best use of the new APIs. | |
| Advantages of this implementation: |