March 2019
Intermediate to advanced
196 pages
4h 50m
English
Content preview from TensorFlow 2.0 Quick Start Guide
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Unsupervised Learning Using TensorFlow 2
In this chapter, we will investigate unsupervised learning using TensorFlow 2. The object of unsupervised learning is to find patterns or relationships in data in which the data points have not been previously labeled; hence, we have only features. This contrasts with supervised learning, where we are supplied with both features and their labels, and we want to predict the labels of new, previously unseen features. In unsupervised learning, we want to find out whether there is an underlying structure to our data. For example, can it be grouped or organized in any way without any prior knowledge of its structure? This is known as clustering. For example, Amazon uses unsupervised learning in its recommendation ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.