The book can be used in both undergraduate and graduate courses; practitioners will find it an essential reference. August 24, Post a Comment. With the advances in computer technology and drawing software, it has never been easier, or more important, to learn computer aided design. Register New Account. Log Into Existing Account. A project-based guide to the basics of deep learning. Instructors You must have an instructor account and submit a request to access instructor materials for this book.
Go paperless today! Available online anytime, nothing to download or install. Features Bookmarking Note taking Highlighting. I have an access code. Catalog Catalog Device Compatibility. Yes, I need to register. No, I want to log in. Video Title. Common Access Code Issues. Common Payment Issues. Browser Support. Chapter 1 Feed-Forward Neural Nets pg. Chapter 2 Tensorflow pg. Chapter 3 Convolutional Neural Networks pg. It's a much more practical way to get started. If you read this and want more detail, you should move on to the Goodfellow book, but I think almost everyone should start here.
I was wondering how the author could pack so much information in less than pages on deep learning. Then after a few days reading, I got impressed that the contents were quite accessible and practical for programmers like me. Also, it helped me find missing parts that I didn't know where to fit in when I was reading theory books.
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