Hi,

Thank you for requesting your FREE table of contents + sample chapters to my brand new book, Deep Learning for Computer Vision with Python— you're taking your first step towards deep learning mastery!

You can download your table of contents + sample chapters PDF using this link:

>> Download the table of contents + sample chapters PDF

Since this book covers a HUGE amount of content, I've included a quick breakdown of what's inside the PDF below:
  • Page 1: Deep Learning for Computer Vision with Python is the most complete, comprehensive deep learning education you can find online. To ensure this wealth of knowledge is organized and easily accessible, I've divided the book into three volumes called "bundles". 
  • Page 2: Not sure which of the three bundles you should choose? No problem. I'll help you decide which bundle is best for you based on (1) your current experience level with neural networks/deep learning and (2) how in-depth you want to study deep learning.
  • Pages 3-23: Here you can find your table of contents to Deep Learning for Computer Vision with Python, broken down by bundle, so you can see the extensive amount of content in the book.
After looking through the table of contents, continue scrolling through the PDF and you'll find the following sample chapters:
  • Pages 25-34: What is Deep Learning?
  • Pages 36-48: Training Your First CNN
  • Pages 59-69: Case Study: Breaking Captchas With a CNN
  • Pages 71-97: Competing in Kaggle: Dogs vs. Cats
  • Pages 99-131: Implementing ResNet by Hand
  • Pages 133-158: Training Mask R-CNN for Cancer/Skin Lesion Segmentation
Thank you again for requesting the table of contents + sample chapters to my new book.

I hope you enjoy going through them and I hope you'll allow me to guide you on your journey to deep learning mastery.

Remember, your journey starts with just the first step — let me help you along the way.

I'll be back in touch tomorrow to see how things are going.

Until then,

Adrian Rosebrock
Chief PyImageSearcher

P.S. I take pride in ensuring that my content is always current and up to date. The newly released 3rd edition of DL4CV supports Keras and TensorFlow 2.0, ensuring that all code examples work out-of-the-box on the latest Keras and TF versions.

Plus, when you purchase from me, you'll receive free updates for life. When I release a new edition of DL4CV, you'll receive that update for free as well.

P.P.S. Have any questions regarding the table of contents or sample chapters? Just reply to this email and let me know. I'd be happy to answer any questions you have.