Description
In this course, you will :
- cover how to create models with multiple inputs and a single output, as well as how to share weights among layers in a model
- advanced topics such as category embeddings and multiple-output networks are covered.
- comprehend how to expand a two-input model to three inputs and beyond
Syllabus :
- The Keras Functional API
- Two Input Networks Using Categorical Embeddings, Shared Layers, and Merge Layers
- Multiple Inputs: 3 Inputs (and Beyond!)
- Multiple Outputs