Tinyml In Action

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Tinyml In Action

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Author : Camila Jones
language : en
Publisher: Independently Published
Release Date : 2025-11-05

Tinyml In Action written by Camila Jones and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-05 with Computers categories.

TinyML in Action is your hands-on guide to making that future real. This comprehensive book takes you from the foundations of embedded machine learning to full, deployable AI projects running on ultra-low-power devices. Whether you're a developer, engineer, or curious maker, you'll learn to design, train, and deploy efficient neural networks that live right on your hardware. What You'll Learn Understand TinyML fundamentals: What it is, how it evolved, and why edge inference changes everything. Master the hardware-software ecosystem: Learn to choose the right microcontroller (ARM Cortex-M, ESP32, Arduino Nano 33 BLE Sense) and sensors for your application. Build and train real TinyML models: Use TensorFlow Lite for Microcontrollers, Edge Impulse, and CMSIS-NN to create compact, optimized neural networks. Deploy, debug, and optimize models on-device: Convert models to C-arrays, manage tensor arenas, and achieve real-time inference even on devices with Implement power-efficient designs: Learn duty cycling, quantization-aware training, and firmware optimization for long battery life. Develop real-world edge AI projects: Gesture recognition, keyword spotting, image detection, predictive maintenance, and environmental monitoring-all step-by-step. Inside the Book You'll walk through the entire TinyML workflow, from data → model → deployment, using practical, real-world examples grounded in official TensorFlow Lite Micro and Arduino references. Each chapter builds on the previous with structured learning: theory, implementation, optimization, and testing. You'll also find dedicated troubleshooting sections, hardware setup guides, and power-profiling strategies for dependable edge-AI performance. By the end of this book, you'll know how to: Collect and preprocess sensor data directly on your board. Train compact neural networks using Python and TensorFlow/Keras. Quantize, prune, and compress models for memory-limited devices. Flash the compiled model and run inference in real time. Profile latency, RAM usage, and power consumption with confidence. Scale your TinyML applications with OTA updates and cloud integration via MQTT, AWS IoT, or Azure IoT Hub. Who This Book Is For This book is perfect for: Embedded developers exploring AI for the first time. Machine learning practitioners looking to deploy models at the edge. IoT engineers building intelligent sensors, wearables, or industrial monitors. Students, educators, and makers passionate about sustainable, low-power AI. No prior deep learning expertise is required - every example is practical, commented, and reproducible. Inside You'll Build Projects Like Gesture recognition using an IMU sensor. Keyword spotting wake-word detector. Person detection on an ESP32-CAM. Predictive maintenance system with vibration data. Smart environmental monitor fusing sound, temperature, and motion. Each project reinforces your understanding of embedded AI optimization, ensuring you can design models that think, sense, and respond - all within the constraints of a microcontroller. Empower the edge. Code the future. Build the next generation of intelligent systems with TinyML. Start reading TinyML in Action today.

Tiny Machine Learning Design Principles And Applications

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Author : Agbotiname Lucky Imoize
language : en
Publisher: John Wiley & Sons
Release Date : 2026-02-17

Tiny Machine Learning Design Principles And Applications written by Agbotiname Lucky Imoize and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-17 with Computers categories.

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, design principles, applications, and relevant issues in Tiny Machine Learning (TinyML). Expert contributors introduce a new low power resource, offering vast applications in IoT devices with system-algorithm co-design. Tiny Machine Learning explores TinyML paradigms and enablers, TinyML for anomaly detection, and the learning panorama under TinyML. Readers will find explanations of TinyML devices and tools, power consumption and memory in IoT microcontrollers, and lightweight frameworks for TinyML. The book also describes TinyML techniques for real-time and environmental applications. Additional topics covered in the book include: A thorough introduction to security and privacy techniques for TinyML devices, including the implementation of novel security schemes Incisive explorations of power consumption and memory in IoT MCUs, including ultralow-power smart IoT devices with embedded TinyML Practical discussions of TinyML research targeting microcontrollers for data extraction and synthesis Perfect for industry and academic researchers, scientists, and engineers, Tiny Machine Learning will also benefit lecturers and graduate students interested in machine learning.

Next Generation Arithmetic

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Author : John Gustafson
language : en
Publisher: Springer Nature
Release Date : 2022-07-13

Next Generation Arithmetic written by John Gustafson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-13 with Computers categories.

This book constitutes the refereed proceedings of the Third International Conference on Next Generation Arithmetic, CoNGA 2022, which was held in Singapore, during March 1–3, 2022. The 8 full papers included in this book were carefully reviewed and selected from 12 submissions. They deal with emerging technologies for computer arithmetic focusing on the demands of both AI and high-performance computing.

Tiny Machine Learning Techniques For Constrained Devices

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Author : Khalid El-Makkaoui
language : en
Publisher: CRC Press
Release Date : 2026-02-05

Tiny Machine Learning Techniques For Constrained Devices written by Khalid El-Makkaoui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-05 with Computers categories.

Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments. This book offers thorough coverage of key topics, including: Foundations and Optimization of TinyML: Covers microcontroller-centric power optimization, core principles, and algorithms essential for deploying efficient machine learning models on embedded systems with strict resource constraints. Applications of TinyML in Healthcare and IoT: Presents innovative use cases such as compact artificial intelligence (AI) solutions for healthcare challenges, real-time detection systems, and integration with low-power IoT and low-power wide-area network (LPWAN) technologies. Security and Privacy in TinyML: Addresses the unique challenges of securing TinyML deployments, including privacy-preserving techniques, blockchain integration for secure IoT applications, and methods for protecting resource-constrained devices. Emerging Trends and Future Directions: Explores the evolving landscape of TinyML research, highlighting new applications, adaptive frameworks, and promising avenues for future investigation. Practical Implementation and Case Studies: Offers hands-on insights and real-world examples demonstrating TinyML in action across diverse scenarios, providing guidance for engineers, researchers, and students. This book is an essential resource for embedded system designers, AI practitioners, cybersecurity professionals, and academics who want to harness the power of TinyML for smarter, more efficient, and secure edge intelligence solutions.

Proceedings Of The Society For Experimental Biology And Medicine

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Author : Society for Experimental Biology and Medicine (New York, N.Y.)
language : en
Publisher:
Release Date : 1973

Proceedings Of The Society For Experimental Biology And Medicine written by Society for Experimental Biology and Medicine (New York, N.Y.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Electronic journals categories.

List of members in each volume.

The Silent Service

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Author : Thomas Michael Jones
language : en
Publisher:
Release Date : 1952

The Silent Service written by Thomas Michael Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1952 with Merchant marine categories.

Danger Is My Destiny

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Author : George Black Orsborne
language : en
Publisher:
Release Date : 1955

Danger Is My Destiny written by George Black Orsborne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955 with Seafaring life categories.

Submarine Warfare Of To Day

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Author : Charles William Domville-Fife
language : en
Publisher:
Release Date : 1920

Submarine Warfare Of To Day written by Charles William Domville-Fife and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1920 with Submarine warfare categories.

Maverick Navy

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Author : Alexander White Moffat
language : en
Publisher: Wesleyan
Release Date : 1976

Maverick Navy written by Alexander White Moffat and has been published by Wesleyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Biography & Autobiography categories.

Ml For Iot Enabling Intelligent Connected Devices

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Author : Isandro Myles
language : en
Publisher: Independently Published
Release Date : 2025-09-12

Ml For Iot Enabling Intelligent Connected Devices written by Isandro Myles and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-12 with Computers categories.

Devices that decide in milliseconds change everything. ML for IoT: Enabling Intelligent Connected Devices shows how to turn raw sensor signals into real-time, on-device decisions that are robust, secure, and ready for scale. No fluff-just practical patterns that ship. You'll build the full path from sensor to insight to action: streaming ingestion, feature pipelines, TinyML and edge inference, vision on low-power cameras, anomaly detection for equipment, and prediction services that hold up under network hiccups and noisy data. You'll learn when to process on the device, at the gateway, or in the cloud-and how to keep models updated safely with observability, A/B testing, and rollbacks. What you'll be able to do: Design event-driven IoT architectures that support sub-second ML decisions Engineer sensor features for vibration, audio, vision, and environmental data Deploy lightweight deep learning and classical models on MCUs, SBCs, and gateways Build predictive maintenance and anomaly detection that actually reduce downtime Optimize for latency, accuracy, and power with quantization and model compression Operate at scale with data engines, OTA updates, MLOps, monitoring, and security best practices Written for engineers, architects, and product builders, this book is your blueprint for intelligent, connected products that are fast, dependable, and field-proven.