March 2018
Intermediate to advanced
484 pages
10h 31m
English
book
Deep Learning with TensorFlow - Second Edition
by Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
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Summary
In this chapter, we introduced CNNs. We have seen that CNNs are suitable for image classification problems, making the training phase faster and the test phase more accurate.
The most common CNN architectures have been described: the LeNet-5 model, designed for handwritten and machine-printed character recognition; AlexNet, which competed in the ILSVRC in 2012; the VGG model, which achieves a top-5 test accuracy of 92.7% in ImageNet (a dataset of over 14 million images belonging to 1,000 classes); and finally the Inception-v3 model, which was responsible for setting the standard for classification and detection in the ILSVRC in 2014.
The description of each CNN architecture was followed by a code example. Also, the AlexNet network and VGG ...
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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.