Deep Learning for Computer Vision with Python
Dr. Adrian Rosebrock
1st Edition (1.1.0)
Copyright c 2017 Adrian Rosebrock, PyImageSearch.com
PUBLISHED BY PYIMAGESEARCH
The contents of this book, unless otherwise indicated, are Copyright c 2017 Adrian Rosebrock,
PyimageSearch.com. All rights reserved. Books like this are made possible by the time invested by
the authors. If you received this book and did not purchase it, please consider making future books
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First printing, September 2017
Since this book covers a huge amount of content, I’ve decided to break the book down into three volumes called “bundles”. A bundle includes the eBook, video tutorials, and source code for a given volume.
Each bundle builds on top of the others and includes all content from the lower volumes. You should choose a bundle based on: (1) how in-depth you want to study deep learning, computer vision, and visual recognition and (2) your particular budget.
You can find a quick breakdown of the three bundles below — the full list of topics to be covered can be found later on this page:
Starter Bundle: A great fit for those taking their first steps towards deep learning for image classification mastery. You’ll learn the basics of (1) machine learning, (2) neural networks, (3) Convolutional Neural Networks, and (4) how to work with your own custom datasets.
Practitioner Bundle: Perfect for readers who are ready to study deep learning in-depth, understand advanced techniques, and discover common best practices and rules of thumb.
ImageNet Bundle: The complete deep learning for computer vision experience. In this bundle, I demonstrate how to train large-scale neural networks on the massive ImageNet dataset. You just can’t beat this bundle if you want to master deep learning for computer vision.
下载地址：Practitioner Bundle,ImageNet Bundle,Starter Bundle
Deep Learning for Computer Vision with Python 1 Starter Bundle.pdf
Deep Learning for Computer Vision with Python 2 Practitioner Bundle.pdf
Deep Learning for Computer Vision with Python 3 ImageNet Bundle.pdf