Description: Title: Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow Author: Koul, Anirudh Publisher: O'Reilly Media Binding: Paperback Pages: 583 Dimensions: 9.19h x 7.00w x 1.19d Product Weight: 2.03 lbs. Language: English ISBN: 9781492034865 Whether youâ 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 Valleyâ 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 Ships Fast From The USA! Authorized Dealer
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Book Title: Practical Deep Learning for Cloud, Mobile, and Edge: Real-World A
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
Publisher: O'reilly Media, Incorporated
Item Height: 1.3 in
Publication Year: 2019
Subject: Hardware / Mobile Devices, General, Enterprise Applications / General, Computer Vision & Pattern Recognition
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
