model.add(Dense(80, activation='relu', init='normal'))
model.add(Reshape((1, 80)))
model.add(SimpleRNN(2, init='normal'))
adam = Adam(lr=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-08)
model.compile(loss='mean_squared_error', optimizer='rmsprop')
merging recurrent layers with dense layer in Keras