Deep Learning on ARM Processors - From Ground Up™

Build Artificial Intelligence Firmware from Scratch on ARM Microcontrollers

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We are going to embark on a very exciting journey together. We are going to learn how to build deep neural networks from scratch on our microcontrollers.

We shall begin by learning the basics of deep learning with practical code showing each of the basic building blocks that end up making a giant deep neural network. All of this on our microcontroller, both training and inference.
As we begin to deal with large datasets we shall start training our neural networks on our computers and then deploying the the trained models on our microcontrollers. Due to the limited memory and processing power of microcontrollers we shall learn methods for quantizing our models before deploying them on our resource constrained microcontrollers without compromising the accuracy of our models.
By the end of this course you will be able to build neural networks from scratch without libraries, be able to master quantization methods for deploying neural networks on microcontrollers , be able to build deep learning firmware for Handwriting Recognition, be able to use Keras, CubeMX.AI and so much more.

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 networks 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.

Course Content

I personally guarantee that by the end of this course you will be able to accomplish the following
  • Build Neural Networks from scratch without libraries
  • Master quantization methods for deploying Neural Networks on microcontrollers
  • Build a Deep Learning Firmware for Handwriting Recognition
  • Be able to give a Lecture on Deep Learning


Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
Do I get a certificate?
Yes, upon successful completion of the course.

Your Instructor


EmbeddedExpertIO™
EmbeddedExpertIO™

EmbeddedExpertIO represents a vibrant collective dedicated to the mastery of sophisticated embedded systems software development for professionals.

EmbeddedExpertIO stands as a premier source of tailored embedded systems development courses, catering to individuals and enterprises seeking to hone or acquire embedded firmware programming expertise. Our extensive course selections encompass beginner to advanced levels, addressing diverse facets of embedded systems development, such as WiFi, STM32, IoT systems design, memory safeguarding, and beyond.

Our core objective is to equip individuals and organizations with the indispensable skills to thrive in the swiftly evolving embedded systems sector. We achieve this by providing immersive, hands-on education under the guidance of seasoned industry specialists. Our ambition is to emerge as the favored learning platform for embedded systems development professionals across the globe.


Course Curriculum


  Introduction
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  Building Blocks of Neural Networks
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  Introduction to Neural Network (Part 2)
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  Logistic Regression
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  Deep Neural Networks
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  Improving Neural Networks with Regularization Techniques
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  Building A Logistic Regression Model
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  Building Deep Neural Networks From Scratch
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  Convolutional Neural Networks (CNN)
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  CubeMX 5 & CubeIDE Primer
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  CubeMX AI
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  Case Study : Deploying the MNIST Handwriting Recognition Model on ARM MCUs
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  Closing
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