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