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

About this book

Whether youre 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 Valleys 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