|
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > Microprocessors
|
Buy Now
TinyML Cookbook - Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter (Paperback)
Loot Price: R1,202
Discovery Miles 12 020
|
|
|
TinyML Cookbook - Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter (Paperback)
Expected to ship within 18 - 22 working days
|
Work through over 50 recipes to develop smart applications on
Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of
machine learning Key Features Train and deploy ML models on Arduino
Nano 33 BLE Sense and Raspberry Pi Pico Work with different ML
frameworks such as TensorFlow Lite for Microcontrollers and Edge
Impulse Explore cutting-edge technologies such as microTVM and Arm
Ethos-U55 microNPU Book DescriptionThis book explores TinyML, a
fast-growing field at the unique intersection of machine learning
and embedded systems to make AI ubiquitous with extremely
low-powered devices such as microcontrollers. The TinyML Cookbook
starts with a practical introduction to this multidisciplinary
field to get you up to speed with some of the fundamentals for
deploying intelligent applications on Arduino Nano 33 BLE Sense and
Raspberry Pi Pico. As you progress, you'll tackle various problems
that you may encounter while prototyping microcontrollers, such as
controlling the LED state with GPIO and a push-button, supplying
power to microcontrollers with batteries, and more. Next, you'll
cover recipes relating to temperature, humidity, and the three "V"
sensors (Voice, Vision, and Vibration) to gain the necessary skills
to implement end-to-end smart applications in different scenarios.
Later, you'll learn best practices for building tiny models for
memory-constrained microcontrollers. Finally, you'll explore two of
the most recent technologies, microTVM and microNPU that will help
you step up your TinyML game. By the end of this book, you'll be
well-versed with best practices and machine learning frameworks to
develop ML apps easily on microcontrollers and have a clear
understanding of the key aspects to consider during the development
phase. What you will learn Understand the relevant microcontroller
programming fundamentals Work with real-world sensors such as the
microphone, camera, and accelerometer Run on-device machine
learning with TensorFlow Lite for Microcontrollers Implement an app
that responds to human voice with Edge Impulse Leverage transfer
learning to classify indoor rooms with Arduino Nano 33 BLE Sense
Create a gesture-recognition app with Raspberry Pi Pico Design a
CIFAR-10 model for memory-constrained microcontrollers Run an image
classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who
this book is forThis book is for machine learning
developers/engineers interested in developing machine learning
applications on microcontrollers through practical examples
quickly. Basic familiarity with C/C++, the Python programming
language, and the command-line interface (CLI) is required.
However, no prior knowledge of microcontrollers is necessary.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
