Paperback. Bridge the gap between Python-based Machine Learning and C++ Embedded Systems with this comprehensive, hands-on guide to TensorFlow Lite for Microcontrollers.Are you a Data Scientist who feels limited by the cloud? Are you a Firmware Engineer ready to add intelligence to your devices?We are living through a quiet revolution. While the world focuses on massive Large Language Models in server farms, a more pervasive shift is happening at the edge. Intelligence is moving from the cloud to the sensor, enabling devices to see, hear, and feel without internet connectivity, latency, or privacy concerns.Embedded TinyML is your field guide to this new frontier.This book is not a theoretical treatise. It is a rigorous engineering roadmap designed to take you from the physics of silicon to the deployment of quantized neural networks on resource-constrained microcontrollers.Using industry-standard hardware like the ESP32, Arduino Nano 33 BLE Sense, and STM32, you will learn to build systems that run on coin-cell batteries for years.What You Will Learn: The Philosophy of Constraints: How to turn memory limits (kB) and clock speeds (MHz) into drivers for efficient engineering.The Hardware Stack: Deep dives into ARM Cortex-M architecture, DSPs, and NPUs.Energy Profiling: Master power management strategies to measure and minimize consumption per inference.Model Optimization: A complete breakdown of Quantization (Int8 vs Float32), Pruning, and Architecture Search.TensorFlow Lite Micro: Navigate the TFLite ecosystem, from training in Keras/Python to C++ deployment.Build Four Real-World Projects: 1. Proprioception: Build a multi-class gesture recognition wand using IMU sensor fusion.2. Vision: Create a privacy-preserving "Visual Wake-Word" detector on low-res camera modules.3. Industrial IoT: Develop an unsupervised Anomaly Detection system for predictive maintenance on vibrating machinery.4. Voice Interface: Engineer a two-stage keyword spotting pipeline for voice control.Whether you are building a smart home device, a health wearable, or an industrial sensor, this book provides the code, the theory, and the strategy to deploy AI where it matters most: at the edge.Stop uploading raw data. Start deploying intelligence.Scroll up and grab your copy today to join the TinyML revolution. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798276549736

Contact seller

Report this item

Bibliographic Details

Title: Embedded TinyML (Paperback)
Publisher: Independently Published
Publication Date: 2025
Language: English
ISBN 13: 9798276549736
Binding: Paperback
Condition: new

About this title

Synopsis

Bridge the gap between Python-based Machine Learning and C++ Embedded Systems with this comprehensive, hands-on guide to TensorFlow Lite for Microcontrollers.

Are you a Data Scientist who feels limited by the cloud? Are you a Firmware Engineer ready to add intelligence to your devices?

We are living through a quiet revolution. While the world focuses on massive Large Language Models in server farms, a more pervasive shift is happening at the edge. Intelligence is moving from the cloud to the sensor, enabling devices to see, hear, and feel without internet connectivity, latency, or privacy concerns.

Embedded TinyML is your field guide to this new frontier.

This book is not a theoretical treatise. It is a rigorous engineering roadmap designed to take you from the physics of silicon to the deployment of quantized neural networks on resource-constrained microcontrollers.

Using industry-standard hardware like the ESP32, Arduino Nano 33 BLE Sense, and STM32, you will learn to build systems that run on coin-cell batteries for years.

What You Will Learn:

The Philosophy of Constraints: How to turn memory limits (kB) and clock speeds (MHz) into drivers for efficient engineering.
The Hardware Stack: Deep dives into ARM Cortex-M architecture, DSPs, and NPUs.
Energy Profiling: Master power management strategies to measure and minimize consumption per inference.
Model Optimization: A complete breakdown of Quantization (Int8 vs Float32), Pruning, and Architecture Search.
TensorFlow Lite Micro: Navigate the TFLite ecosystem, from training in Keras/Python to C++ deployment.

Build Four Real-World Projects:

1. Proprioception: Build a multi-class gesture recognition wand using IMU sensor fusion.
2. Vision: Create a privacy-preserving "Visual Wake-Word" detector on low-res camera modules.
3. Industrial IoT: Develop an unsupervised Anomaly Detection system for predictive maintenance on vibrating machinery.
4. Voice Interface: Engineer a two-stage keyword spotting pipeline for voice control.

Whether you are building a smart home device, a health wearable, or an industrial sensor, this book provides the code, the theory, and the strategy to deploy AI where it matters most: at the edge.

Stop uploading raw data. Start deploying intelligence.

Scroll up and grab your copy today to join the TinyML revolution.

"About this title" may belong to another edition of this title.

Store Description

Visit Seller's Storefront

Seller's business information

APOLLO ONLINE CORP.
605 Geddes Street, Wilmington, DE, 19805, U.S.A.

Sale & Shipping Terms

Terms of Sale

We guarantee the condition of every book as it�s described on the Abebooks web sites. If you�ve changed
your mind about a book that you�ve ordered, please use the Ask bookseller a question link to contact us
and we�ll respond within 2 business days.
Books ship from California and Michigan.

Right of withdrawal

If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.

Information regarding the right of withdrawal

Statutory right to withdraw

You have the right to withdraw from this contract within 14 days without giving any reason.

The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.

To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.

To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.

Effects of withdrawal

If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).

We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.

We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.

We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.

We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.

You shall send back the goods or hand them over to Grand Eagle Retail, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.

Exceptions to the right of withdrawal

The right of withdrawal does not apply to:

The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.

Shipping Terms

Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.

Books ship from California and Michigan.

If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

Shipping rates within U.S.A.

Shipping rates within U.S.A.
Order quantity	6 to 16 business days	6 to 14 business days
First item	� 0.00	� 0.00

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.