davidsvaughn
davidsvaughn
/ rwa.py
Created
May 5, 2017 10:22
— forked from shamatar/rwa.py
Keras (keras.is) implementation of Recurrent Weighted Average, as described in https://arxiv.org/abs/1703.01253. Follows original implementation in Tensorflow from https://github.com/jostmey/rwa. Works with fixed batch sizes, requires "batch_shape" parameter in input layer. Outputs proper config, should save and restore properly. You are welcome…
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| from keras.layers import Recurrent | |
| import keras.backend as K | |
| from keras import activations | |
| from keras import initializers | |
| from keras import regularizers | |
| from keras import constraints | |
| from keras.engine import Layer | |
| from keras.engine import InputSpec | |