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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-..
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Located in: Buffalo Grove, Illinois, United States
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eBay item number:405948673995
Item specifics
- Condition
- ISBN
- 9781492034865
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
149203486X
ISBN-13
9781492034865
eBay Product ID (ePID)
7038417001
Product Key Features
Number of Pages
624 Pages
Language
English
Publication Name
Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras and TensorFlow
Subject
Hardware / Mobile Devices, General, Enterprise Applications / General, Computer Vision & Pattern Recognition
Publication Year
2019
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.2 in
Item Weight
34.9 Oz
Item Length
9.1 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2018-420824
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.6
Synopsis
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, 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 Number
QA76.76.A65K6788
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- u***u (14)- Feedback left by buyer.Past monthVerified purchaseSlow to arrive, but wel packaged and exactly as described. Thanks!
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