Practical Deep Learning for Cloud, Mobile, and Edge

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

eBook Details:

  • Paperback: 620 pages
  • Publisher: WOW! eBook; 1st edition (November 5, 2019)
  • Language: English
  • ISBN-10: 149203486X
  • ISBN-13: 978-1492034865

eBook Description:

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

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.

  • 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

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.

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2 Responses

  1. March 31, 2020

    […] Deep Learning on the Cloud […]

  2. April 19, 2020

    […] in the Cloud: Using Docker, GATK, and WDL in […]

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