Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Author: Anirudh Koul, Siddha Ganju, Meher Kasam

Publisher: O'Reilly Media

Year: 2019

Format: epub

Pages: 620

Language: English

Info:

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

Archive: rar

Formats: epub, pdf

File Size: 272 MB

Print Length: 620 pages

https://www.mediafire.com/file/7ac5raalyzpo59n/practical-deep-learning-cloud-mobile-edge.rar/file

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