The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy a..."> The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy a..."/>
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Hands-on TinyML: Harness the power of Machine Learning on the edge devices

The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy and Pandas. It then delves into the fundamentals of neural networks and explores the practical implementation of deep learning using TensorFlow and Keras. Furthermore, the book provides an in-depth overview of TensorFlow Lite, a specialized framework for optimizing and deploying models on edge devices. It also discusses various model optimization techniques that reduce the model size without compromising performance. As the book progresses, it offers a step-by-step guidance on creating deep learning models for object detection and face recognition specifically tailored for the Raspberry Pi. You will also be introduced to the intricacies of deploying TensorFlow Lite applications on real-world edge devices. Lastly, the book explores the exciting possibilities of using TensorFlow Lite on microcontroller units (MCUs), opening up new opportunities for deploying machine learning models on resource-constrained devices.

Availability
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Information Technology 006.31/BAN/IT0774
IT0774
Available
Detail Information
Series Title
-
Call Number
006.31/BAN/IT0774
Publisher
New Delhi : BPB Publication.,
Collation
-
Language
English
ISBN/ISSN
978-93-5551-844-6
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
First Edition
Subject(s)
Programming
IT
Programming Using Python
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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