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

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Anirudh Koul, Siddha Ganju, Meher Kasam - okładka ebooka

    Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Anirudh Koul, Siddha Ganju, Meher Kasam - okładka ebooka

    Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Anirudh Koul, Siddha Ganju, Meher Kasam - okładka audiobooka MP3

    Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Anirudh Koul, Siddha Ganju, Meher Kasam - okładka audiobooks CD

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    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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