simpleLSTM.py

def simple_LSTM():
    np.random.seed(7)
    model = Sequential(name = 'simple_LSTM')
    model.add(LSTM(512, input_shape=(None, 6), recurrent_dropout=0.5))
    model.add(Dense(len(activities), activation='softmax'))
    model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=1e-4), metrics=['accuracy'])
    print(model.summary())
    return model