rnn_1.py

from keras.models import Sequential
from keras.layers import Dense, SimpleRNN
from keras.callbacks import EarlyStopping
def model_rnn(look_back):
  model=Sequential()
  model.add(SimpleRNN(units=32, input_shape=(1,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