Isbn: 9780135116692 - deep learning illustrated: a visual, interactive guide to artificial intelligence (addison-wesley data & analytics series) (16 Ergebnisse)

Paperback. Zustand: Very Good. "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."?Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated 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.World-class instructor and practitioner Jon Krohn?with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé 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.You?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. Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Paperback. Zustand: Fair. "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."?Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated 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.World-class instructor and practitioner Jon Krohn?with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé 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.You?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. Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: New. 1. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In English.

Paperback. Zustand: Brand New. illustrated edition. 320 pages. 9.00x6.75x0.50 inches. In Stock.

Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. illustrated edition. 320 pages. 9.00x6.75x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - '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.'Tim Urban, author of Wait But WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated 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.World-class instructor and practitioner Jon Krohnwith visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassenspresents 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 not Elektronisches Buch. 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.You'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.- Discover what makes deep learning systems unique, and the implications for practitioners- Explore new tools that make deep learning models easier to build, use, and improve- Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more- Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projectsRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Zustand: New. &Uumlber den Autor Jon Krohn 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 Deep Learning with TensorFlow LiveLessons i.

Taschenbuch. Zustand: Neu. Deep Learning Illustrated | A Visual, Interactive Guide to Artificial Intelligence | Aglae Bassens (u. a.) | Taschenbuch | Addison-Wesley Data & Analytics Series | Kartoniert / Broschiert | Englisch | 2019 | Pearson Education (US) | EAN 9780135116692 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…