Fundamentals of Artificial Neural Network with MATLAB

Learn artificial neural network from scratch

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

It's because now there's tremendous demand for artificial neural networks across a range of industries.

The power of artificial intelligence is now being used by us without our knowledge or surprise. But do you know that the first neuron was introduced just in the year 1943.

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.

This course is designed for those who want to learn the Artificial Neural Network from scratch.

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

You will gain a foundational understanding of what an artificial neural network is and how it functions after taking this course.

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.

So this course would be really beneficial if you want to start with artificial neural networks.

This is a first step toward ANN, and after completing this course, you will be able to go far with Artificial Neural Network and its application.

Enroll in the course and start learning Fundamentals of Artificial Neural Network with MATLAB.