Keras documentation: Models API (original) (raw)

There are three ways to create Keras models:

• The Sequential model, which is very straightforward (a simple list of layers), but is limited to single-input, single-output stacks of layers (as the name gives away).
• The Functional API, which is an easy-to-use, fully-featured API that supports arbitrary model architectures. For most people and most use cases, this is what you should be using. This is the Keras "industry strength" model.
• Model subclassing, where you implement everything from scratch on your own. Use this if you have complex, out-of-the-box research use cases.

Models API overview

The Model class

• Model class
• summary method
• get_layer method

The Sequential class

• Sequential class
• add method
• pop method

Model training APIs

• compile method
• fit method
• evaluate method
• predict method
• train_on_batch method
• test_on_batch method
• predict_on_batch method

Saving & serialization

• Whole model saving & loading
• Weights-only saving & loading
• Model config serialization
• Model export for inference
• Serialization utilities
• Keras weights file editor