The TinyML Book
Rohit Sharma
Book on TinyML compiler, algorithms, no-code platform and over 140 applications. Click here to receive your free copy.
Introduction to TinyML
by Rohit Sharma
Content
- Introduction
- Understanding TinyML
- TinyML App: American Sign Language
- TinyML App: Audio Wakeword Detection
- TinyML App: Visual Wakeword Detection
- TinyML App: Predictive Maintenance
- AutoML for TinyML
- DeepSea, a TinyML Compiler
- Appendix 1: List of TinyML Verticals
- Appendix 2: List of 140 TinyML Application
- Appendix 3: List of TinyML URLs
This book demystifies the TinyML technology including embedded machine learning market, applications, algorithms, tools and technology. The book dives deeper into the technology beyond common application and keep it light for the readers with varying background including students, hobbyists, managers, market researchers and developers.
It starts with introduction to TinyML with benefits and scalability. It introduces no-code and low-code tinyML platform to develop production worthy solutions including audio wake word, visual wake word, American sign language and predictive maintenance. Last two chapters are devoted to sensor and hardware agnostic autoML and tinyML compiler technologies.
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Testimonials
“Great product, great technology.”
– Dr. John C., NASA
“This project provides game changing technology.”
– Robert E., Ph.D
“We are excited to work with AITS to develop low cost and real time solutions for multimodal sensor fusion”
– Prof Jia L.
“We are confident that AI-Tech Systems will be successful in expanding the development and capabilities of tinyML for space weather applications.”
– Dr. Linda H, NASA
“They (AITS) appear well-positioned to build success by applying their experiences, skill and innovative ideas.”
– Dr. Chris R, VP Cisco, IEEE fellow
“We’re keen on using the AITS platform & expertise.”
– Dr. Aparna A, CSIR
“The tool chain you have is pretty attractive for an embedded developer.”
– Shridhar C, MCU Vendor

