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1
Intro
2
Autoencoder class + constructor
3
Implementation of _build and _build_encoder methods
4
Adding encoder input
5
Adding convolutional layers
6
Adding a bottleneck
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Recap of how _build_encoder works
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Implementation of summary method
9
Instantiate an autoencoder object
10
Next up + outro
Description:
Learn how to implement the encoder component of an autoencoder using Python, TensorFlow, and Keras in this comprehensive tutorial video. Explore the step-by-step process of building an Autoencoder class, including the constructor, _build and _build_encoder methods, and adding convolutional layers. Discover how to create the encoder input, implement a bottleneck, and understand the inner workings of the _build_encoder method. Follow along as the video demonstrates how to instantiate an autoencoder object and implement a summary method. Gain valuable insights into neural network architecture and deep learning techniques for sound generation and processing.

How to Implement Autoencoders in Python and Keras - The Encoder

Valerio Velardo - The Sound of AI
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