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Artificial Neural Network and Machine Learning using MATLAB

Learn the fundamentals of Machine Learning and Create an ANN Model with MATLAB Toolbox and Easy to Follow Codes.

  Nastaran Reza Nazar Zadeh

   Machine Learning, Development, Data Science and AI ML, Neural Networks

  Language - English

   Published on 02/2022

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Description

This course is designed to suit both experienced developers who want to take the leap into machine learning and beginners who don't understand machine learning and artificial neural networks from the ground up.

This course introduces a comprehensive training of Multilayer Perceptron Neural Networks or MLP in MATLAB, which, in addition to reviewing the theories about MLP Neural Networks, also goes into the practical implementation of this type of network in the MATLAB environment. covered.

MATLAB provides specialized tools and functions for working with machine learning and artificial neural networks, making the development of an NN much easier and faster.

By the end of this course, you will be able to create a neural network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.

What Will I Get ?

  • Develop a multilayer perceptron neural network 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
  • Knowledge on Training Methods for Machine Learning
  • Understand Optimization methods
  • Understand the Mathematical Model of a Neural Network
  • Understand Function approximation methodology
  • Make powerful analysis
  • Knowledge of Performance Functions

Requirements

  • Basics of Mathematics
  • No programming experience is needed. You will learn everything you need to know.
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