October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Handwritten Digits Classification Using ConvNets
Welcome to this chapter on using convolution neural networks (ConvNets) for the classification of handwritten digits. In Chapter 2, Training NN for Prediction Using Regression, we built a simple neural network for classifying handwritten digits. This was 87% accurate, but we were not happy with its performance. In this chapter, we will understand what convolution is and build a ConvNet for classifying the handwritten digits to help the restaurant chain become more accurate in sending text messages to the right person. If you have not been through Chapter 2, Training NN for Prediction Using Regression, please go through it once so that you can get an understanding of the use case.
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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.