Deep Learning on ARM Processors - From Ground Up™ 2020-9

Deep Learning on ARM Processors – From Ground Up™ Free Download. Build Artificial Intelligence Firmware from Scratch on ARM Microcontrollers

Table of Contents

Deep Learning on ARM Processors – From Ground Up™ Description

Build Neural Networks from scratch without libraries
Master quantization methods for deploying Neural Networks on microcontrollers
Build a Deep Learning Firmware for Image Classification
Build a Deep Learning firmware for Human Activity Recognition (HAR) e.g. running,walking etc.
Build a Deep Learning Firmware for Handwriting Recognition
Build a Deep Learning Firmware for Acoustic Scene Classification (ASC)
Be able to give a Lecture on Deep Learning

If you are new to machine learning and deep learning, this course is for you. The course starts from the very basic building block of neural network and teaches you how to build your own neural network using pure c code before we move on to see how to use readily available libraries.
If you already have some experience with deep learning and want to see how to deploy models on microcontrollers you can also join this course. The course gives in-depth train on the design methodology that needs to be adopted in order to be to deploy models on microcontrollers.