76 - Image Segmentation using U-Net - Part 4 (Model fitting, checkpoints, and callbacks)

This part 4 video of the 6 part series explains the process of fitting a model and other useful actions as part of U-Net model training process. Since deep learning training can take hours or even days, it is necessary to define relevant checkpoints to save work in the event something happens during training. Also, it is important to define early stopping if the model accuracy doesn't improve much after each epoch. This video tutorial explains the process of defining these parameters in Python (using Keras API).
The code from this video is available at: github.com/bns...