{"product_id":"deep-learning-illustrated-a-visual-interactive-guide-to-artificial-intelligence-9780135116692","title":"Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence","description":"\u003cp\u003e\"The authors' clear visual style provides a comprehensive look at what's currently possible with artificial neural networks as well as a glimpse of the magic that's to come.\"\u003cbr\u003e--\u003cem\u003eTim Urban, author of \u003c\/em\u003eWait But Why\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eFully Practical, Insightful Guide to Modern Deep Learning\u003c\/strong\u003e\u003cbr\u003eDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. \u003cem\u003e\u003cstrong\u003eDeep Learning Illustrated\u003c\/strong\u003e\u003c\/em\u003e is uniquely intuitive and offers a complete introduction to the discipline's techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.\u003cbr\u003eWorld-class instructor and practitioner Jon Krohn--with visionary content from Grant Beyleveld and beautiful illustrations by Agla? Bassens--presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.\u003cbr\u003eYou'll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.\u003cbr\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDiscover what makes deep learning systems unique, and the implications for practitioners\u003c\/li\u003e \u003cli\u003eExplore new tools that make deep learning models easier to build, use, and improve\u003c\/li\u003e \u003cli\u003eMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more\u003c\/li\u003e \u003cli\u003eWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects\u003c\/li\u003e \u003c\/ul\u003e \u003cem\u003eRegister your book for convenient access to downloads, updates, and\/or corrections as they become available. See inside book for details.\u003c\/em\u003e \u003cbr\u003e \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e \u003cstrong\u003eJon Krohn\u003c\/strong\u003e is the chief data scientist at untapt, a machine learning startup in New York. He leads a flourishing Deep Learning Study Group, presents the acclaimed \u003cem\u003eDeep Learning with TensorFlow LiveLessons\u003c\/em\u003e in Safari, and teaches his Deep Learning curriculum at the NYC Data Science Academy. Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010. \u003cstrong\u003eGrant Beyleveld\u003c\/strong\u003e is a doctoral candidate at the Icahn School of Medicine at New York's Mount Sinai hospital, researching the relationship between viruses and their hosts. A founding member of the Deep Learning Study Group, he holds a masters in molecular medicine and medical biochemistry from the University of Witwatersrand. \u003cstrong\u003eAglaé Bassens\u003c\/strong\u003e is a Belgian artist based in Brooklyn. She studied fine arts at The Ruskin School of Drawing and Fine Art, Oxford University, and University College London's Slade School of Fine Arts. Along with her work as an illustrator, her practice includes still life painting and murals.\u003c\/p\u003e\u003cbr\u003e","brand":"Addison-Wesley Professional","offers":[{"title":"Default Title","offer_id":50434303557906,"sku":"9780135116692","price":51.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_1c2510fe-f7b9-4071-9732-6c4bfc0e8628.jpg?v=1729598432","url":"https:\/\/surprise-castle.myshopify.com\/products\/deep-learning-illustrated-a-visual-interactive-guide-to-artificial-intelligence-9780135116692","provider":"Surprise Castle","version":"1.0","type":"link"}