Artificial Neural Network and Machine Learning using MATLAB
Learn the fundamentals of Machine Learning and Create an ANN Model with MATLAB Toolbox and Easy to Follow Codes.
Updated on Sep, 2023
Language - English
Course Description
This course is designed to suit both experienced developers who want to take the leap into machine learning and beginners who don't understand machine learning and artificial neural networks from the ground up.
This course introduces a comprehensive training of Multilayer Perceptron Neural Networks or MLP in MATLAB, which, in addition to reviewing the theories about MLP Neural Networks, also goes into the practical implementation of this type of network in the MATLAB environment. covered.
MATLAB provides specialized tools and functions for working with machine learning and artificial neural networks, making the development of an NN much easier and faster.
By the end of this course, you will be able to create a neural network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.
Goals
What will you learn in this course:
- Develop a multilayer perceptron neural network or MLP in MATLAB using Toolbox
- Apply Artificial Neural Networks in practice
- Building Artificial Neural Network Model
- Knowledge on Fundamentals of Machine Learning and Artificial Neural Network
- Knowledge on Training Methods for Machine Learning
- Understand Optimization methods
- Understand the Mathematical Model of a Neural Network
- Understand Function approximation methodology
- Make powerful analysis
- Knowledge of Performance Functions
Prerequisites
What are the prerequisites for this course?
- Basics of Mathematics
- No programming experience is needed. You will learn everything you need to know.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
9 Lectures
-
Course Description
01:55
01:55
-
Course Overview
03:16
03:16
-
History of A.I.
09:14
09:14
-
Artificial Intelligence
04:05
04:05
-
Machine Learning
02:50
02:50
-
Learning Models
01:22
01:22
-
Supervised Learning
03:33
03:33
-
Unsupervised Learning
01:55
01:55
-
Reinforcement Learning
01:39
01:39
Fundamentals of Artificial Neural Network
19 Lectures
MATLAB: Neural Net Fitting Tool
12 Lectures
MATLAB: Scripts
3 Lectures
MATLAB: Modified Advance Script for a Better Data Analysis
7 Lectures
MATLAB: Data Set Example with Multiple Targets
4 Lectures
Instructor Details
Nastaran Reza Nazar Zadeh
Nastaran Reza Nazar Zadeh is a computer engineer with over six years of teaching experience in electronic and computer engineering programs in reputable academic institutions.
She is a researcher and adviser in robotic and artificial intelligence who graduated with a Master of Science in Computer Engineering from Mapua University;
Currently, she is the vice president of Robotic in the ‘Mechatronics and Robotics Society of the Philippines and acts as the "Conference Chair" for the 3rd International Conference on Automation, Mechatronics Robotics.
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