MOMENTAN AUSVERKAUFT
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Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-10149203486X
ISBN-139781492034865
eBay Product ID (ePID)7038417001
Product Key Features
Number of Pages624 Pages
LanguageEnglish
Publication NamePractical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras and TensorFlow
SubjectHardware / Mobile Devices, General, Enterprise Applications / General, Computer Vision & Pattern Recognition
Publication Year2019
TypeTextbook
AuthorMeher Kasam, Siddha Ganju, Anirudh Koul
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Height1.2 in
Item Weight34.9 Oz
Item Length9.1 in
Item Width7.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2018-420824
Dewey Edition23
IllustratedYes
Dewey Decimal005.6
SynopsisWhether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users, Whether you'??re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley'??s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
LC Classification NumberQA76.76.A65K6788
