Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha

In this section, we will first see a number of applications of TensorFlow in supervised machine learning, to include linear regression, logistic regression, and clustering. We will then look at unsupervised learning, in particular, at autoencoding, as applied to data compression and denoising.

This section contains the following chapters:

• Chapter 4, Supervised Machine Learning Using TensorFlow 2
• Chapter 5, Unsupervised Learning Using Tensorflow 2