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Vsanku01/sine-wave.py

Created May 30, 2020 18:04
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TimeSeries Model
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sine-wave.py
n_features = 1
model = Sequential()
model.add(SimpleRNN(50,input_shape = (length , n_features)))
model.add(Dense(1))
model.compile(optimizer='adam',loss='mse',metrics = ['accuracy'])
model.fit_generator(generator=generator,epochs=50)
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