Reconstructing images with an autoencoder
This tutorial will show you how to build a model for unsupervised learning using an autoencoder. Unsupervised in this context means that the input data has not been labeled, classified or categorized.
An autoencoder encodes a dense representation of the input data and then decodes it to reconstruct the input.
Target group: Data scientists and developers
Preread: Before following this tutorial, it is strongly recommended that you complete the tutorial Deploy an operational AI model if you have not done that already.