April 2024
Intermediate to advanced
264 pages
6h 10m
English
Content preview from Machine Learning Q and AI
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2SELF-SUPERVISED LEARNING
What is self-supervised learning, when is it useful, and what are the main approaches to implementing it?
Self-supervised learning is a pretraining procedure that lets neural networks leverage large, unlabeled datasets in a supervised fashion. This chapter compares self-supervised learning to transfer learning, a related method for pretraining neural networks, and discusses the practical applications of self-supervised learning. Finally, it outlines the main categories of self-supervised learning.
Self-Supervised Learning vs. Transfer Learning
Self-supervised learning is related to transfer learning, a technique in which ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.