How to return history of validation loss in Keras

Question

Using Anaconda Python 2.7 Windows 10.

I am training a language model using the Keras exmaple:

print(\'Build model...\')
model = Sequential()
model.ad         


        

Answer 1

Actually, you can also do it with the iteration method. Because sometimes we might need to use the iteration method instead of the built-in epochs method to visualize the training results after each iteration.

history = [] #Creating a empty list for holding the loss later
for iteration in range(1, 3):
    print()
    print('-' * 50)
    print('Iteration', iteration)
    result = model.fit(X, y, batch_size=128, nb_epoch=1) #Obtaining the loss after each training
    history.append(result.history['loss']) #Now append the loss after the training to the list.
    start_index = random.randint(0, len(text) - maxlen - 1)
print(history)

This way allows you to get the loss you want while maintaining your iteration method.