January 2025
Intermediate to advanced
698 pages
16h 48m
English
Content preview from Deep Learning and AI SuperheroBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1 Summary
In Chapter 1, we explored the foundational concepts of neural networks and deep learning, beginning with the basic building blocks that make these technologies so powerful in modern artificial intelligence. This chapter served as an introduction to neural networks by covering their architecture, learning processes, and the various challenges that arise during training.
We began with the Perceptron, the simplest form of a neural network. The perceptron is a linear classifier that attempts to find a boundary to separate two classes of data. While powerful for linearly separable problems, the perceptron has limitations, most notably its inability to solve non-linear problems, such as the XOR problem. This led us to introduce the ...
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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.