Video description
Machine learning is finally easily compatible with Arduino! Learn how to use TensorFlow Lite and machine learning to train an Arduino Nano 33 BLE Sense to recognize unique gestures. You will also receive practical suggestions on how to apply gesture recognition to other creative projects.
What You Will Learn
- Install TensorFlow Lite for the Arduino and the necessary libraries for the board and accelerometer
- Make the Arduino recognize different gestures
- Apply gesture recognition capabilities to a project
Who This Video Is For
Confident programmers who are already familiar with the Arduino platform. There is no previous knowledge of machine learning required.
Table of contents
Product information
- Title: Build an Emoting Robot Using Arduino and Machine Learning: Applying Gesture Recognition with TensorFlow Lite
- Author(s):
- Release date: July 2020
- Publisher(s): Apress
- ISBN: 9781484262788
You might also like
article
Run Llama-2 Models Locally with llama.cpp
Llama is Meta’s answer to the growing demand for LLMs. Unlike its well-known technological relative, ChatGPT, …
article
Use Github Copilot for Prompt Engineering
Using GitHub Copilot can feel like magic. The tool automatically fills out entire blocks of code--but …
video
Hands-On Transfer Learning with TensorFlow 2.0
Transfer learning involves using a pre-trained model on a new problem. It is currently very popular …
video
Voice Commands Using Arduino and Machine Learning: Train a Bot with TensorFlow Lite
In this video, you will learn how to train an Arduino to recognize simple voice commands …
