Fundamentals of Artificial Neural Network with MATLAB

你知道机器学习和数据科学等新分支是如何诞生的吗？

这是因为现在各行各业对人工神经网络的需求巨大。

我们现在正在使用人工智能的力量，而我们并不知情或感到惊讶。但是你知道第一个神经元是在 1943 年才被引入的。

McCullock 和 Pitts 在今年提出了神经元的第一个正式模型，作为一种基本的通勤技术。

从那时起，越来越多的人工神经网络和算法的潜在用例已经发布。

在过去十年中，ANN 的使用急剧增加。尽管学习算法和数据管理是 ANN 的重要组成部分，但对它们的研究和开发进展如此之快，以至于我们现在需要建立独立的分支。这些领域现在分别称为机器学习和数据科学。

本课程专为那些想从头开始学习人工神经网络的人而设计。

您熟悉哪个软件或属于哪个分支都没有关系。

学习本课程后，您将对人工神经网络是什么以及它的功能有基本的了解。

掌握基础知识后，本课程将向您展示如何使用 MATLAB 仿真和代码创建 ANN 代码。

完成后，本课程将帮助您使用 MATLAB 的工具和应用程序快速开发 ANN 模型。

因此，如果您想从人工神经网络开始，本课程将非常有益。

这是迈向 ANN 的第一步，完成本课程后，您将能够深入了解人工神经网络及其应用。

注册课程并开始使用 MATLAB 学习人工神经网络的基础知识。

Published 07/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 49 lectures (6h) | Size: 1.88 GB

Learn artificial neural network from scratch

What you’ll learn

• Applications of ANN
• Working of Artificial Neuron
• Interconnection of artificial neurons
• 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

• 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.

Description

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.

Who this course is for

• This course is designed for those who want to learn the Artificial Neural Network from scratch.
• After completing this course, school students can also easily understand what an Artificial Neural Network is and how it works.
• This course is extremely helpful for research scholars of various engineering branches who want to start with Artificial Neural Network as an application.
• If anyone is using MATLAB for simulation of power electronics & drive, power system or electric circuit simulation, then this course will open new doors to explore Artificial Neural Network and use it along with the MATLAB simulations.