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ImageNet Bundle - Deep Learning for Computer Vision with Python

The ImageNet Bundle is the most in-depth bundle and is for readers who want to train large-scale deep neural networks.

  • All chapters inside the Starter BundlePractitioner Bundle and ImageNet Bundle in PDF, EPUB, and MOBI format.
  • BONUS GUIDES on training object detection (Faster R-CNN, Single Shot Detector, RetinaNet) and image segmentation (Mask R-CNN) networks on your own custom datasets.
  • An exclusive hardcopy edition of Deep Learning for Computer Vision with Python mailed right to your doorstep (this is the only bundle that includes a physical copy of the book).
  • Video tutorials and walkthroughs for each chapter.
  • All source code listings so you can run the examples in the book out-of-the-box.
  • downloadable pre-configured Ubuntu VirtualBox virtual machine that ships with all necessary Python + deep learning libraries you will need to be successful pre-installed.
  • Access to the Deep Learning for Computer Vision with Python companion website.
  • FREE updates as the book is revised and updated.

What others are saying

I'm constantly recommending your [PyImageSearch.com] site to people I know at Georgia Tech and Udacity. While I consider Udacity the gold standard, I would rate your material at the same level. Keep up the good work.

Andrew Baker

Adrian possesses a very rare talent of making complex concepts easy to grasp.

Jean-Francois Parent

I can't recommend this book enough for anyone who has some basic knowledge of Python and is interested in Deep Learning and computer vision. Looking for an entry point to Deep Learning for image classification? Choose the Starter Bundle. Want to experiment with different well known architectures such as ResNet and GoogleNet? Go for the Practitioner Bundle. Want to train your networks on ImageNet? Get the ImageNet Bundle. This compendium has been an invaluable resource for my ML work.

Simon Walsh

I've learned a lot from the DL4CV book. I purchased an ImageNet bundle. I've learnt a lot from the experiences you [Adrian] put in the book. Especially, I'm mind blown by the way you explained ResNet in Practitioner Bundle and Image Orientation correction from ImageNet bundle.

Saideep Talari