Are you aiming at starting a career in Deep Learning? You are lucky to be here reading this and considering this course. This course takes you to the field of deep learning and helps you answer a lot of questions that folks are asking nowadays, such as what is deep learning and what's the connection between deep learning and artificial neural networks? What are the types of Deep Learning? What are Convolutional Neural Networks(CNN)? How to code a CNN? and so on..

Here in this remarkably designed short course you will learn about Deep learning in a very short time. It covers topics like:

Basics of Machine Learning specifically Deep Learning,

Types of Deep Learning,

Deep Learning with MATLAB, Exclusive OR Gate implementation via Deep Learning,

Multiple Layer Perceptron example and function approximation example application to Control Systems,

Convolutional Neural Networks (CNN),

First CNN MATLAB coding example with Alexnet,

Second example with Googlenet,

A brief history of Alexnet and Google Net.

After completing this course, learners should be able to:

• describe what a deep learning model is, what a neural network is.

• demonstrate an understanding of supervised deep learning models such as convolutional neural networks and multiple layer perceptron.

• build deep learning models and networks using MATLAB.

So what are you waiting for. Get enrolled now and start learning.