Fundamentals of Artificial Neural NetWork with MATLAB

Published 07/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch

What you’ll learn
Applications of ANN
Different Type of Networks
How to train ANN (Learning Algorithms)
How to design ANN for given problem
How to develop ANN with MATLAB Programing
How to develop ANN with MATLAB Simulations
How to use ANN along with other MATLAB simulations
How to develop ANN with MATLAB MAchine Learning Apps

Requirements
However primary knowledge of MATLAB may be required to quickly grasp the content of former chapters.

Description
Do you know how new branches like machine learning and data science come into existence?

McCullock and Pitts presented the first formal model of the neuron as an elementary commuting technique in this year.

Since then, a rising number of potential use cases for ANN and algorithms have been published.

The use of ANN has increased dramatically over the past ten years. Although learning algorithms and data management are essential components of ANN, research and development on them have advanced at such a rate that we now need to establish independent branches. These fields are now referred to as machine learning and data science, respectively.

It doesn’t matter which software you are familiar with or which branch you belong to.

Once you’ve mastered the fundamentals, this course shows you how to create ANN code using MATLAB simulation and code.
Once it is finished, this course will assist you in developing an ANN model quickly using MATLAB’s tools and apps.

Who this course is for