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30-Day Money-Back Guarantee

This course includes:

  • 33 mins on-demand video
  • 12 downloadable resources
  • 1 practice test
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Neural Networks

Neural Networks With MATLAB: Programming For Beginners

Neural Network and Its Applications in Data Fitting Problems with MATLAB (ToolBox)
Rating: 3.5 out of 53.5 (148 ratings)
9,128 students
Created by Prof. Karthik K
Last updated 3/2020
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Introductory Concepts of Neural Network
  • Construction, Training and Simulation of Neural Network in MATLAB ToolBox
  • Gain Hands-On Experience With MATLAB Neural Network Programming

Course content

5 sections • 13 lectures • 32m total length

  • Preview00:50
  • Preview00:33
  • Preview00:20
  • Preview00:46

  • Construction of neural network
    03:13

  • Training of neural network
    03:42
  • View the network
    01:34

  • Simulation of neural network
    01:17
  • Training performance
    01:35
  • Quiz on neural networks
    5 questions

  • One input attribute and one target attribute
    05:49
  • Two input attributes and one target attribute
    04:58
  • Two input attributes and two target attributes
    03:37
  • Parallel computing - Sixteen input attributes and one target attribute
    04:18
  • MATLAB Programming for neural networks
    3 questions

Requirements

  • MATLAB installed on your laptop or desktop

Description

This course provides a comprehensive introduction to the neural network for the data fitting problems using MATLAB. Attendees will learn to construct, train, and simulate different kinds of neural networks. A set of practical problems are solved in this course. At the end of this course, you will be able to solve the Neural Network problems using the MATLAB - Neural Network Toolbox. The MATLAB scripts and functions included in the class are also available for download. Happy learning.


NB: This course is designed most straightforwardly to utilise your time wisely.

Who this course is for:

  • Those who would like to build a strong career in science/engineering through MATLAB programming skills.

Instructor

Prof. Karthik K
Computational Engineer
Prof. Karthik K
  • 3.7 Instructor Rating
  • 269 Reviews
  • 26,525 Students
  • 2 Courses

Engineer dedicated to utilizing the power of CFD and Machine learning for the solution of real-world problems, improved design, and performance assessment. Over 6 years’ experience in engineering, and R&D environment. Engineering professional with a focus on Multi-physics CFD-ML from IIT Madras.

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