![]() ![]() "This is a timely, fascinating book, providing with not only a comprehensive overview of deep learning principles but also detailed algorithms with hands-on programming code, and moreover, a state-of-the-art introduction to deep learning in computer vision and natural language processing. Dive into Deep Learning is an excellent text on deep learning and deserves attention from anyone who wants to learn why deep learning has ignited the AI revolution: the most powerful technology force of our time." - Jensen Huang, Founder and CEO, NVIDIA "In less than a decade, the AI revolution has swept from research labs to broad industries to every corner of our daily life. If you find this book useful, please star (★) this repository or cite this book using the following bibtex into Deep Learning},Īuthor=, be complemented by a forum for interactive discussion of technical details and to answer questions.allow for rapid updates, both by us and also by the community at large. ![]() include runnable code, showing readers how to solve problems in practice.offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist.Our goal is to offer a resource that could The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussionsīook website | STAT 157 Course at UC Berkeley The best way to understand deep learning is learning by doing. ![]()
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