As the title say, thank you!
from keras.callbacks import ModelCheckpoint
filepath="weights.best.hdf5"
checkpoint = ModelCheckpoint(filepath, monitor='val_acc', verbose=1, save_best_only=True, mode='max')
callbacks = [checkpoint]
model.fit(X, Y, validation_split, epochs, batch_size, callbacks=callbacks, verbose=0)
Are there anybody could HELP me? Really thanks!
Of course, we could save and load timely, the question is for the custom layer/model (not built-in), somwhat inconvenient, really expect your reply.
Any kind advices would be grateful.