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Building and Training an Autoencoder in Keras - TensorFlow - Python

Valerio Velardo - The Sound of AI via YouTube

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Overview

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This course demonstrates how to build and train an autoencoder with Python, Keras, and TensorFlow. It uses the MNIST dataset and covers model construction, compilation, training, and a training run.

Syllabus

Intro
Build autoencoder
Update summary method
Build compile method
Build train method
Create the train script
The MNIST dataset
Training the autoencoder
Performing a train run
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Taught by

Valerio Velardo - The Sound of AI

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