February 2018
Beginner to intermediate
258 pages
5h 47m
English
Content preview from R Deep Learning Projects
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What this book covers
Chapter 1, Handwritten Digit Recognition Using Convolutional Neural Networks, is where we start working on the first project of the book. We will begin with a recap of logistic regression and multilayer perceptron. We'll solve the problem with these two algorithms. We will then move on to the biologically inspired variants of multilayer perceptron—convolutional neural networks (CNNs). We will also cover the basics and core concepts of deep learning.
Chapter 2, Traffic Sign Recognition for Intelligent Vehicles, explains how to use CNNs for another application—traffic sign detection. We will also cover several important concepts of deep learning in this chapter and get readers familiar with other popular frameworks and ...
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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.