September 2022
Intermediate to advanced
212 pages
6h 56m
English
Content preview from Machine Learning
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Chapter 6 Generative Adversarial Networks
Machine learning algorithms are mainly divided into supervised, semi-supervised, and unsupervised algorithms. The supervised algorithms need labeled data for the optimization process. However, the data collection phase for these algorithms is very hard. Many algorithms have been introduced in recent years to reduce human-centered data collection, which is very expensive process. The semi-supervised and unsupervised algorithms have mainly focused on reducing cost. Specifically, the variational autoencoder (VAE) and Generative adversarial networks (GANs) can produce artificial data samples based on a limited set of the collected data. The VAE can produce the data. However, in computer vision applications, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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.