Practical Deep Learning for Cloud and Mobile

Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow

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Beschreibung

<div><p>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.</p><p>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.</p><ul><li>Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite</li><li>Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral</li><li>Explore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studies</li><li>Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning</li><li>Use transfer learning to train models in minutes</li><li>Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users</li></ul></div>

Artikeldetails

EAN

9781492034865

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

231 x 177 x 40 mm

Erscheinungsjahr

2019

Verlag / Hersteller

O'Reilly Media