About Course
Neural Network using MATLAB in 2020
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 utilize your time wisely.
Who this Neural Network using MATLAB course is for:
- Those who would like to build a strong career in science/engineering through MATLAB programming skills.
Course Content
Neural Network using MATLAB
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Introduction to Neural Networks Course
00:00 -
Introduction to Neural Network | Episode #1
00:00 -
Data Fitting Neural network GUI | Episode #2
00:00 -
Function Approximation using Data fitting Neural Network | Episode #3
00:00 -
Time Series Neural Network GUI | Episode #4
00:00 -
Data Forecasting Using Time Series Neural Network | Episode #5
00:00 -
Pattern Recognition Neural Network GUI | Episode #6
00:00 -
Classifying Inputs into 4 different classes using Pattern Recognition in Neural Network | Episode #7
00:00 -
Clustering Neural Network GUI | Episode #8
00:00 -
Segregating prominant colours from input image in Neural Network | Episode #9
00:00 -
Autoencoders in MATLAB | Neural Network | Episode #10
00:00 -
Character Recognization application using MNSIT Dataset | Neural Network | Episode #11
00:00 -
Introduction to Neural Networks in Control Systems | Episode #12
00:00 -
Model Predictive Control System | Neural Network | Episode #13
00:00 -
NARMA-L2 (or Feedback Linearization) Control System | Neural Network | Episode #14
00:00 -
Model Reference Control System | Neural Network | Episode #15
00:00 -
Radial Basis Function Neural Network in MATLAB | Episode #16
00:00 -
​Introduction to Neural Network
00:00
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