
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.
Is Tiny Machine Learning Techniques for Constrained Devices available in Paperback and Hardcover?
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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