What are TensorFlow callbacks and how do I use them?
TensorFlow callbacks are functions that are called at certain points during training, allowing you to customize the training process.
Can you give me an example of a common callback?
Sure! One common callback is the EarlyStopping callback, which stops training when a monitored metric has stopped improving.
How do I implement the EarlyStopping callback in my code?
You can implement it by importing EarlyStopping from keras.callbacks and adding it to the callbacks list in the fit method.
What other callbacks should I consider using?
You might also consider ModelCheckpoint, ReduceLROnPlateau, and TensorBoard for better model management and visualization.
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