Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods

The video tutorial introduces the advanced method of creating deep learning models using the subclassing API in TensorFlow. It explains the concept, provides documentation insights, and demonstrates implementation with example code. The tutorial also discusses the challenges and advantages of using the subclassing API, highlighting its flexibility in network architecture but difficulty in debugging.

What is the role of the activation function in the dense layers of the model?

How does the model handle multiple inputs and outputs as described in the text?

What challenges are faced when debugging a model built using subclassing API?

What are the advantages and disadvantages of using subclassing API?