Machine Learning at the Edge on Arm: A Practical Introduction

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Overview

The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play. To improve efficiency and performance, developers are now looking to analyse this data directly on the source device usually a microcontroller...

Syllabus

Module 1 - Understand basic concepts of AI, ML and Edge ML. Module 2 - Identify the key features of Machine Learning such as datasets, data analysis and alogorithm training. Module 3 - Learn to explain the basic elements of Artificial Neural Networks. Module 4 - Learn to explain the basic elements of Convolutional Neural Networks (CNN). Module 5 - Understand how to deploy computer vision using CNN. Module 6 - Learn to optimise ML models under the constraints of a microcontroller environment