
Tiny Machine Learning Techniques for Constrained Devices (English, Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi)
by Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi
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Book Details
Publisher
Chapman and Hall/CRC
Language
English
ISBN-13
9781032897523
ISBN-10
103289752X
Author
Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi
About the Book
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.
ISBN: 9781032897523
ISBN-13: 9781032897523
ISBN-10: 103289752X
Frequently Asked Questions
What is the price of Tiny Machine Learning Techniques for Constrained Devices?
Tiny Machine Learning Techniques for Constrained Devices starts from ₹4840 at GlowMirror. Available in Paperback.
Who is the author of Tiny Machine Learning Techniques for Constrained Devices?
Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi is the author of Tiny Machine Learning Techniques for Constrained Devices. Browse more books by Khalid El-Makkaoui | Ismail Lamaakal | Ibrahim Ouahbi on GlowMirror.
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Yes, Tiny Machine Learning Techniques for Constrained Devices is available in Paperback on GlowMirror. Select your preferred format on the product page.
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Product ID: isbn-9781032897523
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