How to Check-Point Deep Learning Models in Keras - Machine Learning Mastery

In this post you will discover how you can check-point your deep learning models during training in Python using the Keras library. When training deep learning models, the checkpoint is the weights of the model. Checkpointing is setup to save the network weights only when there is an improvement in classification accuracy on the validation dataset (monitor'val_acc' and mode'max'). In this post you have discovered the importance of checkpointing deep learning models for long training runs.