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?
问问题
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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?