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

Start learning Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This course demonstrates how to implement the encoder component of an autoencoder in Python, TensorFlow, and Keras. It covers the encoder input, convolutional layers, bottleneck, model summary, and object instantiation.

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

Start learning

Never Stop Learning.

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

Sign up for free
Someone learning on their laptop while sitting on the floor.