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lylayang/dnn_1.py

Last active March 9, 2020 05:15
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dnn_1.py
from keras.models import Sequential
from keras.layers import Dense
def model_dnn(look_back):
model=Sequential()
model.add(Dense(units=32, input_dim=look_back, activation='relu'))
model.add(Dense(8, activation='relu'))
model.add(Dense(1))
model.compile(loss='mean_squared_error', optimizer='adam',metrics = ['mse', 'mae'])
return model
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