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import tensorflow as tf | |
import numpy as np | |
class TextCNN(object): | |
""" | |
A CNN for text classification. | |
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer. | |
""" | |
def __init__( |
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import numpy as np | |
from keras.layers import GRU, initializations, K | |
from collections import OrderedDict | |
class GRULN(GRU): | |
'''Gated Recurrent Unit with Layer Normalization | |
Current impelemtation only works with consume_less = 'gpu' which is already | |
set. | |
# Arguments |