Description: Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow, Paperback by Koul, Anirudh; Ganju, Siddha; Kasam, Meher, ISBN 149203486X, ISBN-13 9781492034865, Brand New, Free shipping in the US
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
Price: 70.13 USD
Location: Jessup, Maryland
End Time: 2024-11-09T09:42:59.000Z
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Practical Deep Learning for Cloud, Mobile, and Edge : Real-World
Number of Pages: 583 Pages
Publication Name: Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI and Computer-Vision Projects Using Python, Keras and TensorFlow
Language: English
Publisher: O'reilly Media, Incorporated
Subject: General, Hardware / Mobile Devices, Computer Vision & Pattern Recognition, Enterprise Applications / General
Item Height: 1.3 in
Publication Year: 2019
Type: Textbook
Item Weight: 31.4 Oz
Item Length: 9.3 in
Author: Meher Kasam, Siddha Ganju, Anirudh Koul
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback
