State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

D. PaperState-of-the-Art Deep Learning Models in TensorFlowhttps://doi.org/10.1007/978-1-4842-7341-8_8

8. Stacked Autoencoders

David Paper¹  

(1)

Logan, UT, USA

 

The first seven chapters focused on supervised learning algorithms. Supervised learning is a subcategory of ML that uses labeled datasets to train algorithms to classify data and predict outcomes accurately. The remaining chapters focus on unsupervised learning algorithms. Unsupervised learning uses ML algorithms to analyze and cluster unlabeled datasets. Such algorithms discover hidden patterns or data groupings without the need for human intervention.

Autoencoders are artificial neural networks that ...