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Another concern is about the choice between TensorFlow Mobile and TensorFlow Lite. The book covers TensorFlow Mobile in most chapters (1 to 10). TensorFlow Lite may be the future of running TensorFlow on mobile, it's still in developer preview as of Google I/O 2018— that's why Google expects you to "use TensorFlow Mobile to cover production.
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Intelligent Mobile Projects with TensorFlow Preface Artificial Intelligence ( AI ), the simulation of human intelligence in computers, has a long history. Since its official birth in 1956, AI has experienced several booms and busts.
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Intelligent Mobile Projects with TensorFlow By Jeff Tang Book Add to Cart eBook $43.99 $10.00 Print $54.99 Subscription $10 p/m for three months What do you get with eBook? Download this book in EPUB and PDF formats Access this title in our online reader DRM FREE - Read whenever, wherever and however you want
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Publisher Description. Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow. About This Book. • Build TensorFlow-powered AI applications for mobile and embedded devices. • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning. • Get practical insights and exclusive.
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Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features: Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern.
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Start reading Intelligent Mobile Projects with TensorFlow EPUB and PDF. Get access to an unlimited library of academic books on Calibr. Discover Login Sign up for Free. Login. Sign up for Free.. EPUB, PDF. Publisher. Packt. Year. 2018. ISBN-13. 9781788628808. Topic. Data. Subtopic. Machine Learning. Edition. 1. Book details.
Handson TensorFlow Lite for Intelligent Mobile Apps Intro to Problem &
This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning.
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Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi Jeff Tang Packt Publishing Ltd, May 22,.
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Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi. by Jeff Tang (Author), Aurelien Geron (Foreword) 4.7 8 ratings. See all formats and editions.
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Intelligent Mobile Projects with TensorFlow covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement lea.
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Intelligent Mobile Projects with TensorFlow by Jeff Tang (ebook) Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi Jeff Tang Click to preview Add to Cart US$43.99 Buy multiple copies Give this ebook to a friend Add to list More books by this author
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Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the Tensor.
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This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning.
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Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlowAbout This Book• Build TensorFlow-powered AI applications for mobile and embedded devices • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning• Get practical insights and exclusive working code not available in the TensorF.
