Practical deep learning for cloud, mobile, and edge: real-world AI and computer-vision projects using Python, Keras, and TensorFlow

✍ Scribed by Anirudh Koul

• Publisher: O'Reilly Media
• Year: 2019
• Tongue: English
• Category: Library

✦ 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...