Practical Deep Learning Book
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About
The Practical Deep Learning Book offers a step-by-step guide for software engineers, data scientists, and enthusiasts to build practical deep learning applications on cloud, mobile, and edge devices. It combines practical industry experience with hands-on methods, teaching users how to utilize Keras, TensorFlow, and Core ML effectively. Through real-world case studies and projects, this book helps readers understand and implement deep learning concepts from image classification to deploying AI on mobile platforms. It emphasizes usability for rapid skill development in deep learning and features 50+ practical tips for model accuracy and speed.
Platform
Features
• includes a github repository for code examples
• practical tips for maximizing model performance
• real-world case studies and examples
• covers multiple platforms: cloud, mobile, edge
• hands-on approach to building applications
FAQs
What is the target audience for this book?
This book is aimed at software engineers, data scientists, and hobbyists interested in deep learning.
What platforms does the book cover for application deployment?
The book covers application development and deployment for cloud, mobile, browsers, and edge devices.
Can I read this book online?
Yes, the book is available for online reading.
Pricing Plans
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