December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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What this book covers
Chapter 1, The Nuts and Bolts of Neural Networks, will briefly introduce what deep learning is and then discuss the mathematical underpinnings of NNs. This chapter will discuss NNs as mathematical models. More specifically, we'll focus on vectors, matrices, and differential calculus. We'll also discuss some gradient descent variations, such as Momentum, Adam, and Adadelta, in depth. We will also discuss how to deal with imbalanced datasets.
Chapter 2, Understanding Convolutional Networks, will provide a short description of CNNs. We'll discuss CNNs and their applications in CV
Chapter 3, Advanced Convolutional Networks, will discuss some advanced and widely used NN architectures, including VGG, ResNet, MobileNets, GoogleNet, ...
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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.