Deep Learning using Matlab in 2020

Deep Learning using Matlab in 2020

AI is omnipresent in our modern world. It is on your phone, on your laptop, in your car, in your fridge, and other devices you would not dare to think of. After thousands of years of evolution, humanity has managed to create machines that can conduct specific intelligent tasks when trained properly. How? Through a process called machine learning or deep learning, by mimicking the behavior of biological neurons through electronics and computer science. Even more, than it is our present, it is our future, the key to unlocking exponential technological development and leading our societies through wonderful advancements.

As amazing as it sounds, it is not off-limits to you, to the contrary!

We are both engineers, currently designing and marketing advanced ultra-light electric vehicles. Albert is a Mechanical engineer specializing in advanced robotics and Eliott is an Aerospace Engineer specializing in advanced space systems with past projects completed in partnership with the European Space Agency.

The aim of this course is to teach you how to fully, and intuitively understand neural networks, from their very fundamentals. We will start from their biological inspiration through their mathematics to go all the way to creating, training, and testing your own neural network on the famous MNIST database.

It is important to note that this course aims at giving you a complete and rich understanding of neural networks and AI, in order to give you the tools to create your own neural networks, whatever the project or application. We do this by taking you through the theory to then apply it on a very hands-on MATLAB project, the goal being for you to beat our own neural network’s performance!

This course will give you the opportunity to understand, use:

1. Learn What is Machine Learning?
2. Learn how to use Neural Network using Matlab
3. Learn how to Implementation of Batch Method with a real-life example
4. Learn the Limitation of Single-Layer Neural Network
5. Learn Deep Learning using Matlab
6. Learn Convolutional Neural Network in Matlab
7. Learn the Convolutional Neural Network (CNN) Image Classification in Matlab

Who this course is for:

1. Anyone interested in Artificial Intelligence
2. Anyone interested in Machine Learning
3. Anyone interested in Deep Learning
4. Anyone interested in Neural Networks
5. Anyone who wants to learn MATLAB while applying it to Deep Learning and Neural Networks
6. Anyone interested in creating Artificial Intelligence able to recognize handwritten numbers
7. Anyone interested in using and understanding the MNIST database to train in Neural Networks
8. Anyone interested to expand his knowledge in Data Science within his current career or as a new career
9. Anyone interested in entering the Data Science industry as a developer or an entrepreneur
10. Anyone who wants to create value in their projects or businesses bu deeply understanding and leveraging data science and deep learning