https://machinelearningmastery.com/autoencoder-for-regression/
Autoencoder Feature Extraction for Regression
Autoencoder is a type of neural network that can be used to learn a compressed representation of raw data. An autoencoder is composed of encoder and a decoder sub-models. The encoder compresses the input and the decoder attempts to recreate the input from
machinelearningmastery.com
https://www.v7labs.com/blog/autoencoders-guide#h4
Autoencoders in Deep Learning: Tutorial & Use Cases [2022]
Autoencoders are a type of neural network that can be used for unsupervised learning. Explore different types of autoencoders and learn how they work.
www.v7labs.com
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