Keras Callback

keras_callback_medium_3.py

from keras.callbacks import ProgbarLogger   

class ProgbarLoggerVerbose(ProgbarLogger):
    def on_train_begin(self, logs=None):
        super(ProgbarLoggerVerbose, self).on_train_begin(logs)
        self.verbose = True

log_file = 'path/to/log.txt'  # if you don't want to do logging, just leave the kwags unfilled
my_callback = MyCallback(test_x, test_y, log_file=log_file, verbose=True)
model.fit(X, Y, callbacks=[ProgbarLoggerVerbose('samples'), my_callback], verbose=0)
# if you are using fit_generator, change to ProgbarLoggerVerbose('steps')

"""
Output:
Epoch 1/12
60000/60000 [==============================] - 4s - loss: 0.3180 - acc: 0.9019 - val_loss: 0.0798 - val_acc: 0.9761
Epoch 0 acc= 0.9761
Epoch 2/12
60000/60000 [==============================] - 4s - loss: 0.1117 - acc: 0.9664 - val_loss: 0.0500 - val_acc: 0.9831
Epoch 1 acc= 0.9831
"""