Callbacks

Learn to checkpoint DL models in Keras and use the ModelCheckpoint callback class to checkpoint model weights under the specified conditions.

Checkpointing is the process of saving the computational state of an application to recover it in case of a system failure. Checkpointing takes a snapshot of the system state that we can use as a starting point for a new run of our application. During the DL model training phase, we can checkpoint model weights. These weights can be further used for making predictions or training a new model. Let’s ...