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@farizrahman4u
Created March 2, 2019 08:16
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from keras.layers import *
from keras.models import *
from utils import max_len, max_words
def get_model():
model = Sequential()
model.add(Embedding(max_words, 128))
model.add(GRU(128))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
return model
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