Hey,

I received this email from PyImageSearch reader, Alexei.

Alexei asks:

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Adrian, I am interested in purchasing a copy of your deep learning book. Which bundle should I choose?

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Great question.

Deep Learning for Computer Vision with Python covers a HUGE amount of content.

To ensure this wealth of knowledge is organized and easily accessible, I've divided the book into three volumes called "bundles".

A bundle includes the eBook, video tutorials, source code, and more for a given volume.

Each volume builds on top of the others (in sequential order) and includes all content from lower volumes.

You should choose a bundle based on how in-depth you want to study deep learning and computer vision.

To help you decide, I've included a quick breakdown of the three bundles below:
  • Starter Bundle: A great fit if you are taking your first steps toward 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 if you want 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 what you'll get in this bundle.
Based on the number of copies I've sold already, I can tell you that the Practitioner Bundle is the most popular so far. The Practitioner Bundle allows you to not only master the basics of deep learning for computer vision, but also take an in-depth dive to the more advanced topics.

I've also found that the Starter Bundle is favored by readers just getting started with machine learning and deep learning.

But I have to say, the ImageNet Bundle is being gobbled up by readers who are serious about mastering deep learning and want to train large-scale networks from scratch on massive datasets.

Exactly which group do you fall into?

That depends on (1) your current experience level with neural networks/machine learning and (2) how in-depth you want to study deep learning.

My suggestion would be for you to take a look at the full breakdown of chapters inside the book and assess which topics you would like to learn.

The list of topics you want to study will determine which bundle you should purchase.

From there, all the hard work is done — all that's left is to click here and order your copy.

All the best,

Adrian Rosebrock
Chief PyImageSearcher

P.S. Do you have any questions about which Deep Learning for Computer Vision with Python bundle you should order? Hit reply to this email and let me know — I'm here to help.