{"product_id":"deep-learning-with-python-isbn-9781617294433","title":"Deep Learning with Python","description":"\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003ci\u003eDeep Learning with Python\u003c\/i\u003e introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.\u003cbr\u003e \u003cbr\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Technology\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Book\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003ci\u003eDeep Learning with Python\u003c\/i\u003e introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eWhat's Inside\u003c\/b\u003e\u003cbr\u003e  \u003cbr\u003e \u003cul\u003e \u003cli\u003eDeep learning from first principles\u003c\/li\u003e \u003cli\u003eSetting up your own deep-learning environment\u003c\/li\u003e \u003cli\u003eImage-classification models\u003c\/li\u003e \u003cli\u003eDeep learning for text and sequences\u003c\/li\u003e \u003cli\u003eNeural style transfer, text generation, and image generation\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e  \u003cbr\u003e\u003cbr\u003e \u003cb\u003eAbout the Reader\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e \u003cb\u003eFrançois Chollet\u003c\/b\u003e is one of the most important researchers in modern day deep learning. His groundbreaking work includes the creation of the Keras deep learning library, and major contributions to the TensorFlow framework. These tools have helped revolutionize and democratize deep learning. François is an AI researcher and Senior Staff Software Engineer at Google. François authored Deep Learning with R alongside J.J. Allaire, and developed the Abstraction and Reasoning Challenge that measures AI skill-acquisition on unknown tasks.\u003cbr\u003e \u003cbr\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e  \u003cbr\u003e  \u003cbr\u003e \u003cbr\u003e\u003cbr\u003e \u003col\u003e \u003cli\u003eWhat is deep learning?\u003c\/li\u003e \u003cli\u003eBefore we begin: the mathematical building blocks of neural networks\u003c\/li\u003e \u003cli\u003eGetting started with neural networks\u003c\/li\u003e \u003cli\u003eFundamentals of machine learning\u003c\/li\u003e \u003cli\u003eDeep learning for computer vision\u003c\/li\u003e \u003cli\u003eDeep learning for text and sequences\u003c\/li\u003e \u003cli\u003eAdvanced deep-learning best practices\u003c\/li\u003e \u003cli\u003eGenerative deep learning\u003c\/li\u003e \u003cli\u003eConclusions\u003c\/li\u003e \u003cli\u003eappendix A - Installing Keras and its dependencies on Ubuntu\u003c\/li\u003e \u003cli\u003eappendix B - Running Jupyter notebooks on an EC2 GPU instance \u003c\/li\u003e \u003c\/ol\u003e \u003cbr\u003e \u003cbr\u003e \u003ch4\u003ePART 1 - FUNDAMENTALS OF DEEP LEARNING\u003c\/h4\u003e \u003cbr\u003e  \u003ch4\u003ePART 2 - DEEP LEARNING IN PRACTICE\u003c\/h4\u003e \u003cbr\u003e \u003cb\u003eFrom the Publisher\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e For over thirty years, Manning Publications has been delivering impeccable quality in tech publishing. Our rich and independent history is filled with innovations, including groundbreaking early access programs, DRM-free ebooks, and live learning projects. We spend thousands of hours making each Manning book outstanding—and our readers agree! We’re regularly told that Manning produces the very best tech content you can buy.\u003cbr\u003e \u003cbr\u003e Manning authors are technology experts, including distinguished academics, industry veterans, and the creators of major tools. Timeless Manning classics include Francois Chollet’s \u003ci\u003eDeep Learning with Python\u003c\/i\u003e, Jon Skeet’s\u003ci\u003e C# in Depth\u003c\/i\u003e, Don Jones’ \u003ci\u003eLearn Windows Powershell in a Month of Lunches\u003c\/i\u003e, and Chris Richarson’s\u003ci\u003e Microservices Patterns\u003c\/i\u003e. We’re proud to help some of the world’s greatest programmers share their unique insight with you.\u003cbr\u003e \u003cbr\u003e ","brand":"Manning","offers":[{"title":"Default Title","offer_id":48682844520677,"sku":"NP9781617294433","price":49.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/O_ac70e14d-b3b4-45f9-a7b8-d7aa823285b1.jpg?v=1775168758","url":"https:\/\/k12savings.com\/es\/products\/deep-learning-with-python-isbn-9781617294433","provider":"K12savings","version":"1.0","type":"link"}