Udemy - Artificial Neural Networks tutorial - theory & applications

[ DevCourseWeb.com ] Artificial Neural Networks tutorial - theory & applications



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 13 lectures (1h 19m) | Size: 132 MB

Machine learning algorithm (ANN) - simplified. See the use cases with R to understand the application

What you'll learn:

Basics of Artificial Neural Network (ANN)

Terms and defintions associated with ANN

How does ANN work

How to solve binary classification problem using artificial neural network in R

How to solve multi level classification problem using artificial neural network in R

Data treatment guideline for using ANN

Pros and Cons of Neural Network



Requirements

Should know basic R programming

Basic computer skills

Ability to locate resource supplied with this course on Udemy platform



Description

This course aims to simplify concepts of Artificial Neural Network (ANN). ANN mimics the process of thinking. Using it's inherent structure, ANN can solve multitude of problem like binary classifications problem, multi level classification problem etc.



The course is unique in terms of simplicity and it's step by step approach of presenting the concepts and application of neural network.



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