Learn to Create Neural Network with Matlab Toolbox and Easy to Follow Codes; with Comprehensive Theoretical Concepts

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

Basics of Mathematics

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.

Anyone with passion for learning!

Anyone who wants to develop a Neural Network with no programming skills!

Students who want to learn and apply machine learning for their projects.

Professionals in the field of Electronic, Computer, IT and Industry.

Researchers who want to explore and conduct a research with Machine Learning techniques.

Any business owner who wants to understand how to leverage the Machine Learning in their business

Anyone who is looking for salary growth and new opportunities in the field of Data Science and Machine Learning



DOWNLOAD
uploadgig


rapidgator


nitroflare