Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI Computer-Vision Projects Using Python, Keras TensorFlow
Language: English
Published by O'Reilly Media, 2019
- Softcover
- New
Condition: New
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- 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
- Publication year
- 2019
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 149203486X
- ISBN 13
- 9781492034865
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
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