Hi,

Over the past few weeks I've been getting a lot of questions regarding my new book, Deep Learning for Computer Vision with Python.

I've been tracking the most popular ones in a spreadsheet and thought I would format them nicely and share them with you today — these questions will help you determine if my deep learning book is a good fit for you:
 

Why this book?

Deep Learning for Computer Vision with Python is the most complete, comprehensive guide to studying deep learning online today. You cannot find any other book that includes this level of intuitive explanations, thoroughly documented code (that works out of the box), and highly detailed experiments that enable you to reproduce state-of-the-art results.

I guarantee this is the most comprehensive deep learning book available today.
 

Does this book cover TensorFlow 2.0?

The newly released 3rd edition of DL4CV covers both TensorFlow 2.0 and Keras.
 

What deep learning libraries and packages are we using?

This book primarily uses Keras and TensorFlow 2.0. Keras and TensorFlow are the two most widely used deep learning libraries. They are also the easiest to use, ensuring you can go from idea, to experimentation, to result as quickly (and easily) as possible. We also use a bit of mxnet for training state-of-the-art networks on large-scale datasets.
 

What if I'm a beginner at deep learning?

Don't worry; you won't get bogged down by tons of theory and complex equations. We'll start off with the basics of machine learning and neural networks. You'll learn in a fun, practical way with lots of code. You'll be a neural network & machine learning pro in no time and be able to graduate to the more advanced content.
 

What if I'm already experienced in deep learning?

This book isn't just for beginners — there's (lots) of advanced content in here for you too. You'll discover how to train your own custom object detectors using deep learning. You'll build a custom framework that can be used to train very deep architectures on the challenging ImageNet dataset from scratch. I'll even show you my personal blueprint that I use to determine which deep learning techniques to apply when confronted with a new problem. Best of all, these solutions and tactics can be directly applied to your current job, research, and projects.

The techniques you learn here will save you enough time (and money) to pay for the book multiple times over.
 

Do I need any programming experience before reading this book?

This book assumes you have some prior programming experience (e.g. you know what a variable, function, loop, etc. are). You should have more skills than a novice, but certainly not an intermediate or advanced developer. As long as you understand basic programming logic flow you'll be successful in reading (and understanding) the contents of this book.
 

Your book is more expensive than other online courses and books — why is your book worth the price?

First, it's important to understand that Deep Learning for Computer Vision with Python is the most complete, comprehensive deep learning education online (the ImageNet Bundle is over 900+ pages). Not only does it cover the theory behind deep learning, it also details the implementation as well. You can't find a book this detailed on any other online platform, MOOC, or book.

Secondly, I personally dedicate time daily to answering your questions, providing help, and offering suggestions — no other book or course online gives you this level of access to authors. To be totally honest with you, I've considered raising the price of this book multiple times but haven't (yet).

My book may seem more expensive than other online courses/guides, the value you are getting is multiple orders of magnitude higher. I encourage you to give my book a try. Once you dig into the content I'm confident you'll agree that the book is well worth the price.
 

What if I hate the book?

Well, hate is a strong word...but if you honestly hate this book and feel like you haven't made headway in your journey to deep learning and computer vision mastery, then I don't want your money. Just reply to your purchase receipt email within 30 days and I'll refund your purchase.
 

I'm just so busy right now...

Everyone has the same amount of time in a day — we all have 24 hours to work, spend time with our families, sleep, and have fun. If you're interested in studying deep learning, I challenge you to make it your goal. When I was in college, there was no such thing as a "deep learning class" or even an online course! I taught myself deep learning on my own time. I made deep learning a big priority.

The very fact that you're reading this email tells me that you want to study deep learning — so why not make it your goal and priority? If you do so, I promise that the time will follow.
 

Which bundle should I buy?

Each bundle builds on top of the others and includes all content from lower volumes. You should choose a bundle based on (1) how in depth you want to study deep learning, computer vision & visual recognition and (2) your particular budget. Use the "Here's the full breakdown of what you'll learn inside Deep Learning for Computer Vision with Python" section above to help you decide which topics you want to learn, then pick a bundle based on your choices.
 

What happens after I purchase?

After you purchase your copy of Deep Learning for Computer Vision with Python you will (1) receive an email receipt for your purchase and (2) you will be able to download your books, code, datasets, etc. immediately.
 

Can I upgrade from a lower tier bundle to a higher one? How does the upgrade process work?

Yes, you can always upgrade your bundle to a higher one. For example, you could purchase the Starter Bundle and then upgrade to the Practitioner Bundle or ImageNet Bundle at a later date.

The cost to upgrade would simply be the price difference between your current bundle and the bundle you wanted to upgrade to (you would not need to "repurchase" the content you already own). To upgrade your bundle just send me an email and I can get you the upgrade link.
 

I have another question.

If you have any other questions, please reply to this email and I'll get back to you ASAP.

I hope that clears up any questions you may have!

To grab your copy of my new book (and take the next step in your journey to deep learning mastery), just click here.

Adrian Rosebrock
Chief PyImageSearcher