4.4  81 reviews on Udemy

Artificial Neural Network and Machine Learning using MATLAB

Learn to Create Neural Network with Matlab Toolbox and Easy to Follow Codes; with Comprehensive Theoretical Concepts
Course from Udemy
 348 students enrolled
 en
Develop a multilayer perceptron neural networks or MLP in MATLAB using Toolbox
Apply Artificial Neural Networks in practice
Building Artificial Neural Network Model
Knowledge on Fundamentals of Machine Learning and Artificial Neural Network
Understand Optimization methods
Understand the Mathematical Model of a Neural Network
Understand Function approximation methodology
Make powerful analysis
Knowledge on Performance Functions
Knowledge on Training Methods for Machine Learning

This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don't understand machine learning and Artificial Neural Network from the ground up.

In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered.

MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN.

At the end of this course, you'll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

Artificial Neural Network and Machine Learning using MATLAB
$ 94.99
per course
Also check at

FAQs About "Artificial Neural Network and Machine Learning using MATLAB"

About

Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers.
DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.

SOCIAL NETWORK