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mpariente
/ bidirectional_LSTM.py
Last active
December 19, 2017 22:12
Creating a child of Bidirectional to handle return_states
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| # In answer to this issue | |
| # https://github.com/keras-team/keras/issues/8823 | |
| from keras import backend as K | |
| from keras.layers import Bidirectional | |
| from keras.utils.generic_utils import has_arg | |
| from keras.layers import Input, LSTM | |
| class MyBidirectional(Bidirectional): |
mpariente
/ gist:b18b1f89e10169c4af30449f49e39521
Created
November 21, 2017 19:54
— forked from karpathy/gist:587454dc0146a6ae21fc
An efficient, batched LSTM.
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| """ | |
| This is a batched LSTM forward and backward pass | |
| """ | |
| import numpy as np | |
| import code | |
| class LSTM: | |
| @staticmethod | |
| def init(input_size, hidden_size, fancy_forget_bias_init = 3): |