Hi, my name is Nastaran, and welcome to Artificial Neural Network and Machine Learning using Matlab. 1
This course is uniquely designed to be suitable for both experienced developers seeking to make that 2
jump to machine learning or complete beginners who don't understand machine learning and artificial neural 3
network from the ground up. 4
In this course, we introduce a comprehensive training of multilayer perceptual neural network, or 5
MLP in Matlab. 6
In addition to review the theories related to MLP neural networks to practical implementation of these 7
types of networks in matlab environment is also fully covered. 8
Matlab offers a specialized toolbox and function for working with machine learning and artificial neural 9
networks, which makes it a lot easier and faster for you to develop neural network. 10
You can apply machine learning techniques to solve problems such as classification, pattern recognition, 11
function, approximation and more. 12
Let's go ahead and take a quick look at just a few things that you will be learning in this course 13
here in session. 14
One, we have a course of our view, which is this video that you're watching right now in session two 15
we will start with a history of artificial intelligence and important events. 16
And then we will define machine learning and its concepts. In session three, 17
We are having a fundamental of artificial neural network where you understand a neural network theories 18
and mathematical model for a multilayer perception. 19
You will also learn about optimization, mean square error. 20
and more. If you already have a background of an artificial neural network, you can already skip these three 21
sessions. 22
and start from session four where we get our hands on Matlab software. 23
Here we explore Matlab toolbox and train a neural network without any coding. 24
We will expand our knowledge in session four with creating both simple and advanced scripts of 25
Matlab. In session six 26
You can develop a neural network with customized advanced script based on your data to achieve an 27
accurate result. 28
Finally, we will wrap up our course with practical example of developing a neural network with multiple 29
targets and inputs. 30
We will also learn how to create different functions in different scripts. 31
This course includes over 50 comprehensive video lectures with five Matlab source codes, which has been 32
discussed in details. 33
You'll also get access to a community forum where many students and I are happy to answer any questions 34
you post. 35
This course also comes with a certificate of completion, which you can post on your LinkedIn profile, 36
become a neural network developer and machine learning a specialist by enrolling today.