For instance, this enables you to monitor how a stack of Conv2D and MaxPooling2D layers is downsampling image feature maps:



What to do once you have a model
What to do once you have a model
Once your model architecture is ready, you will want to:
Train your model, evaluate it, and run inference.
Save your model to disk and restore it.
Speed up model training by leveraging multiple GPUs.


Feature extraction with a Sequential model
Feature extraction with a Sequential model
Once a Sequential model has been built, it behaves like a Functional API model