git clone https://github.com/gcarq/keras-timeseries-prediction.git
cd keras-timeseries-prediction/
pip install -r requirements.txt
python main.py

model = Sequential()
model.add(LSTM(64,
               activation='relu',
               batch_input_shape=(batch_size, look_back, 1),
               stateful=True,
               return_sequences=False))
model.add(Dense(1, activation='linear'))
model.compile(loss='mean_squared_error', optimizer='adam')