3. Introduction to Keras Functional API: Building Flexible Neural Networks

In this video, we dive deep into the Keras Functional API, an advanced method for building neural networks with Keras, which provides more flexibility than the Sequential API. You'll learn how to construct complex models with multiple inputs, outputs, and shared layers, enabling you to create custom architectures that go beyond simple linear stacks.

We cover:

The key differences between the Keras Sequential and Functional APIs.
How to define models using the Functional API's input, layer, and output connections.
Implementing complex models like multi-input and multi-output networks.
Using shared layers for different parts of the model.
Step-by-step examples to help you understand how to leverage the power of the Functional API for your deep learning projects.
Whether you're a beginner looking to understand the Keras Functional API or an experienced practitioner aiming to build sophisticated models, this video has got you covered!

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Видео 3. Introduction to Keras Functional API: Building Flexible Neural Networks канала Quantum Data Analytics