Deep Learning - Crash Course 2023 - TensorFlow Advanced Tricks - Ways to Create Neural Networks

The video tutorial explains various methods to create neural networks using the TensorFlow framework. It covers the sequential model approach, both by adding layers one by one and using a Python list. It also introduces the functional API for creating non-sequential models, highlighting the flexibility in defining complex architectures. The tutorial concludes with a brief mention of the subclassing API, setting the stage for further exploration in the video series.

In the context of the functional API, how do you specify connections between layers?

What is the role of the output layer in a neural network model?

What are the three important types of neural network models discussed in the video?

What is subclassing API in the context of creating deep learning models?