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

Just an example started from

history = model.fit(X, Y, validation_split=0.33, nb_epoch=150, batch_size=10, verbose=0)

You can use

print(history.history.keys())

to list all data in history.

Then, you can print the history of validation loss like this:

print(history.history['val_loss'])