arrow_back
Introduction to Artificial Neural Network
Course Promo
1.1 Course Introduction
1.2 Introduction to ANN
1.3 Classification Problem
1.4 Regression Problem
1.5 Pattern Recognition
Mathematical Representation and concept
2.1 Mathematical Represntation of Classification and Regression Problem
2.2 Line Equation to Neuron Structure
2.3 First Model of Artificial Neuron
Understand Artificial Neuron Model with Practice
3.1 Further Simplified Neuron Model for Practice
3.2 Find Decision Boundary for Given Neuron
3.3 Neuron vs line
3.4 Find Neuron parameters from decision boundary
Implementation of Digital Logics with Neurons
4.1 Review and Intro
4.2 Implement NOT Gate with Neuron
4.3 Implement AND Gate with Neuron
4.4 Implement OR Gate with Neuron
4.5 Implement XOR with Neuron
Interconnection of Neurons
5.1 Interconnection of Neurons
5.2 Feed forward Network
5.3 Tutorial 5.1
5.4 Tutorial 5.2
5.5 Tutorial 5.3
5.6 Summary Ch5
Learning Algorithm
6.1 LEarning algorithm
6.2 Perceptron learning rule
6.3 Perceptron Learning rule with an Example
6.4 Analysis of Prceptron and Summary of ANN
Basics of ANN design with MATLAB
7.1 ANN Design Requirement
7.2 Perceptron Practice with MATLAB as a calculator
7.3 Develop Trained ANN wth MATLAB Programing
7.4 Trained ANN with MATLAB Simulation
7.5 Develop MATLAB Program for LEarning Algorithm
7.6 MTLAB ANN Clasification Tool Box
ANN for Regression Problem (Curve fitting)
8.1 ANN for Regression Problem
8.2 Delta Learning Rule
8.3 Delta Learning Rule Finding Derivative term for different activation Functions
8.4 Trained Continuous Perceptron with MATLAB Programing
8.5 Writing MATLAB Code for Delta LEarning Rule
8.6 Develop Simulation Model of Continuous Peceptron
8.7 Case1 Calculating weights Manually
8.8 Training Continuous Perceptron with MATLAB Code
Two Layer Feed Forward Network MATLAB NN Fitting App
9.1 Two Layer Feed Forward Continuous Network
9.2 Curve Fitting Practice 1 with MATLAB Tool Box (App)
9.3 How to use Generated Simulink Model
9.4 Mapping sine function with NN fitting app
Case Study: Design ANN for Car Price Prediction with MATLAB
10.1 Design ANN for Predicting Price of Used Car
10.2 Data Analysis
10.3 Develop ANN Model for Car Price Prediction with NN Fitting App
10.4 Creat Simulation Model of Car Price Prediction
Case Study: ANN Based Sensorless SRM Drive
11.1 Understanding the Problem of rotor position estimation of SRM
11.2 Design an ANN for rotor position estimation
11.3 Performance Analysis of ANN trained for rotor position estimation
11.4 Simulation of ANN Based Sensorless SRM Drive
Comprehensive Summary
121 Course Summary
12.2 What Next
Freebies
Fundamentals of Switched Reluctance Motor & Drive by Dr. Jignesh Makwana