Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

How to Implement Autoencoders in Python and Keras - The Encoder

Valerio Velardo - The Sound of AI via YouTube

Overview

Build a Learning Habit
Download Class Central's free printable study calendar
Download for Free
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.

Syllabus

Intro
Autoencoder class + constructor
Implementation of _build and _build_encoder methods
Adding encoder input
Adding convolutional layers
Adding a bottleneck
Recap of how _build_encoder works
Implementation of summary method
Instantiate an autoencoder object
Next up + outro

Taught by

Valerio Velardo - The Sound of AI

Reviews

Start your review of How to Implement Autoencoders in Python and Keras - The Encoder

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.