Udemy – Fundamentals of Artificial Neural Network with MATLAB 2023-6

Fundamentals of Artificial Neural Network with MATLAB is a course on the fundamental concepts of artificial neural networks (ANN) using MATLAB published by Udemy Online Academy. This course covers the fundamentals of neural networks, including perceptrons, activation functions, feedforward and backpropagation algorithms, and model training. This course provides hands-on experience in designing, training, and evaluating ANN models for various applications such as classification, regression, and pattern recognition. Learners will also explore optimization techniques, performance evaluation metrics, and real-world applications of neural networks in engineering and data science.

Key Points: This course covers the fundamental concepts of neural networks, including perceptrons, activation functions, feedforward and backpropagation functions, and model training. This course provides hands-on experience in designing, training, and evaluating ANN models for classification, regression, and pattern recognition. This course is very useful for those who want to learn artificial neural networks from scratch, for researchers in various engineering branches who want to get started with artificial neural networks as an application, and if someone uses MATLAB for power electronics and drive simulation, power system or electrical circuit simulation, this course opens new doors to explore artificial neural networks and use them alongside MATLAB simulations.

What you will learn in Fundamentals of Artificial Neural Network with MATLAB:

• ANN Applications
• How Artificial Neurons Work
• Connecting Artificial Neurons
• Different Types of Networks
• How to Train ANN (Learning Algorithms)
• How to Design ANN for a Given Problem
• How to Develop ANN with MATLAB Programming
• How to Develop ANN with MATLAB Simulation
• How to Use ANN with Other MATLAB Simulations
• And…

Course specifications

Publisher: Udemy
Instructors: Dr. Jignesh Makwana
Language: English
Level: Introductory
Number of Lessons: 56
Duration: 6 hours and 35 minutes

Course topics

Fundamentals of Artificial Neural Network with MATLAB Prerequisites

To understand fundamentals of Artificial Neural Network, you don’t require any prerequisite. Even school students who know simple equations of line, can also understand the basics of Artificial Neural Networks.
However primary knowledge of MATLAB may be required to quickly grasp the content of former chapters.

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Fundamentals of Artificial Neural Network with MATLAB introduction video

Installation guide

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English subtitle

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 764 MB

Size

1.7 GB