Free download » Free download video courses » Udemy - Artificial Neural Networks tutorial - theory & applications
| view 👀:112 | 🙍 oneddl | redaktor: FreshWap.CC | Rating👍:

Udemy - Artificial Neural Networks tutorial - theory & applications



Udemy - Artificial Neural Networks tutorial - theory & applications
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.
The course has two section
-------------------------------------------------------
Section 1 : Theory of artificial neural network
--------------------------------------------------------
what is neural network
Terms associated with neural network
What is node
What is bias
What is hidden layer / input layer / output layer
What is activation function
What is a feed forward model
How does a Neural Network algorithm work?
What is case / batch updating
What is weight and bias updation
Intuitive understanding of functioning of neural network
Stopping criteria
What decisions an analyst need to take to optimize the neural network?
Data Pre processing required to apply ANN
-------------------------------------------------------
Section 2 : Application of artificial neural network
--------------------------------------------------------
Application of ANN for binary outcome
Application of ANN for multi level outcome
Assignment of ANN - learn by doing
Who this course is for
Analytics professionals, who are trying to learn artificial neural network
Students, who are trying to make their career into analytics domain
Finance professionals, who want to get first hand exposure of artificial neural network concepts
Homepage
https://www.udemy.com/course/artificial-neural-networks-tutorial-theory-applications/

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me



rapidgator
https://rapidgator.net/file/51a9cbcd391de947f176fe7569b24e71/s9a6z.Artificial.Neural.Networks.tutorial..theory..applications.rar.html



Links are Interchangeable - No Password - Single Extraction

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.