we can set tf.keras.callbacks.ModelCheckpoint(), then pass a callbacks argument to fit() method to save the best modelcheckpoint, but how to make the same thing in a custom training loop?
we can set tf.keras.callbacks.ModelCheckpoint(), then pass a callbacks argument to fit() method to save the best modelcheckpoint, but how to make the same thing in a custom training loop?