Theory of Computation – Moore Machine Working and Representation with Example by Deeba Kannan

TOC Lec - Moore to Mealy Machine conversion

TOC Lec- Mealy to Moore machine conversion

TOC Lec - Mealy Machine working and representation with Examples

TOC Lec - Moore machine working and representation with Example

TOC Lec - Introduction to Moore and Mealy by Deeba Kannan

Artificial Neural Networks - Self Organizing Map Example

Artificial Neural Networks - Self Organizing Map Working and Algorithm

Artificial Neural Networks - Learning Vector Quantization Example

Artificial Neural Networks - Learning Vector Quantization (LVQ) Algorithm and working

Artificial Intelligent - Types of Environment in Agent Based Problem

Artificial Neural Network - Perceptron Example

Artificial Neural Network - Perceptron Algorithm

Artificial Neural Network - Hebb Nets - Example 2

Artificial Neural Network - Hebb Nets Example 1

Artificial Neural Network - Hebb nets Introduction and Algorithm

MaCulloch Pitts Neural Network - Example 2 (XOR)

McCulloch Pitts Neural Network Model - Example 1 (AND OR ANDNOR)

McCulloch Pitts Neural Network Model - Introduction

Back Propagation Network Example by Deeba Kannan

Activation function and Algorithm - Back Propagation Network

Working of Back Propagation Network - Artificial Neural Network by Deeba Kannan

Backpropagation Network Introduction - Artificial Neural Network by Deeba Kannan

Artificial Intelligence - Agent Based Problems

TOC Lec - Decidable and Undecidable problems