Minor aesthetic improvements
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@@ -30,13 +30,11 @@ def decode_one_hot(y):
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return ''.join(s)
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return ''.join(s)
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def normalization_layer_set_weights(n_layer):
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def normalization_layer_set_weights(n_layer):
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print(n_layer.get_weights()[0].shape)
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print(n_layer.get_weights()[1].shape)
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wb = []
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wb = []
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w = np.zeros((LINE_SIZE*INPUT_VOCAB_SIZE, LINE_SIZE*INPUT_VOCAB_SIZE), dtype=np.float32)
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w = np.zeros((LINE_SIZE*INPUT_VOCAB_SIZE, LINE_SIZE*INPUT_VOCAB_SIZE), dtype=np.float32)
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b = np.zeros((LINE_SIZE*INPUT_VOCAB_SIZE), dtype=np.float32)
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b = np.zeros((LINE_SIZE*INPUT_VOCAB_SIZE), dtype=np.float32)
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# Let lower case letters go through
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for r in range(0, LINE_SIZE*INPUT_VOCAB_SIZE, INPUT_VOCAB_SIZE):
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for r in range(0, LINE_SIZE*INPUT_VOCAB_SIZE, INPUT_VOCAB_SIZE):
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# Let lower case letters go through
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for c in string.ascii_lowercase:
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for c in string.ascii_lowercase:
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i = char_indices[c]
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i = char_indices[c]
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w[r+i, r+i] = 1
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w[r+i, r+i] = 1
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