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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Introduction to deep learning

In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoff Hinton published a milestone paper titled ImageNet Classification with Deep Convolutional Neural Networks https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf. The paper describes their use of neural networks to win the ImageNet competition of the same year, which we mentioned in Chapter 2, Neural Networks. At the end of their paper, they wrote the following:

"It is notable that our network's performance degrades if a single convolutional layer is removed. For example, removing any of the middle layers results in a loss of about 2% for the top-1 performance of the network. So the depth really is important for ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content