DEEBA KANNAN

TOC Example 2 - Scenario based question Turing Machine Construction

TOC Lec 14 - minimization of DFA by Deeba Kannan

Compiler Design Lec - 42 -Syntax Directed Definitions(SDD),S-Attribute, L-Attribute,by Deeba Kannan

Artificial Neural Network - Hebb Nets - Example 2

Compiler Design Lec - 45 -Types of Three Address Statements in Compiler Design by Deeba Kannan

Compiler Design Lec-51-Syntax Directed Translation(SDT) for Flow of control statement -Deeba Kannan

TOC Lec 07-NFA to DFA conversion using subset construction by Deeba Kannan

Artificial Neural Networks - Self Organizing Map Example

Artificial Intelligent - Types of Environment in Agent Based Problem

TOC Lec 12-Regular Expression to DFA by Deeba kannan

Artificial Neural Network - Hebb Nets Example 1

Back Propagation Network Example by Deeba Kannan

Artificial Intelligence - water jug problem using BFS and DFS

TOC Lec 36-pumping lemma for context free grammar by Deeba Kannan

Artificial Neural Networks – Learning Vector Quantization Example by Deeba Kannan

Artificial Intelligence - Agent-Based Problems by Deeba Kannan

Theory of Computation – Context-Free Grammar for Context-Free Language by Deeba Kannan

TOC Lec 23 - Introduction to Context free grammar, Derivation, Parse tree, Ambiguity

TOC Lec 29-introduction to Push Down Automata by Deeba Kannan

Compiler Design Lec - 09 Input buffering by Deeba Kannan

Compiler Design Lec - 05 Role of lexical analyzer by Deeba Kannan

TOC Lec - Decidable and Undecidable Problems by Deeba Kannan

Artificial Neural Network – Perceptron Algorithm by Deeba Kannan

Theory of Computation – Introduction to Moore and Mealy Machines by Deeba Kannan

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

TOC Lec 24 - Elimination of useless symbols in Context free grammar by Deeba Kannan

Compiler Design Lec - 24 - Left Recursion and Left Factoring Elimination by Deeba Kannan

Compiler Design Lec - 49 -Syntax Directed Translation for Boolean Statements by Deeba Kannan

TOC Lec 17 - DFA to Regular expression by Deeba Kannan

Compiler Design Lec - 39 -Simple LR - SLR parser by Deeba Kannan

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

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

Backpropagation Network Introduction – Artificial Neural Network by Deeba Kannan

Theory of Computation – Moore to Mealy Machine Conversion by Deeba Kannan

Artificial Neural Network – Perceptron Example by Deeba Kannan

Theory of Computation – Mealy to Moore Machine Conversion by Deeba Kannan

Artificial Neural Networks – Self Organizing Map Working and Algorithm by Deeba Kannan

Compiler Design Lec - 40 -Canonical LR parsing by Deeba Kannan

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

TOC Lec 55 - Properties of Recursively Enumerable Languages by Deeba Kannan

TOC Lec 22 - Types of Grammar(Chomskian hierarchy of languages) by Deeba Kannan

Theory of Computation – Mealy Machine Working and Representation with Examples by Deeba Kannan

Activation Function and Algorithm – Back Propagation Network by Deeba Kannan

Artificial Neural Network – Hebb Nets Introduction and Algorithm by Deeba Kannan

McCulloch-Pitts Neural Network – Example 2 (XOR) by Deeba Kannan

Artificial Intelligence - Introduction to Predicate Logic by Deeba Kannan

Compiler Design Lec - 15 - Transition diagram for relational operator by Deeba Kannan

Artificial Intelligence - Local Beam Search Algorithm by Deeba Kannan

TOC Lec 53 - Recursive and Recursively Enumerable Language by Deeba Kannan

Artificial Intelligence - Bi-Directional Serach by Deeba Kannan

Artificial Intelligence - Resolution Algorithm by Deeba Kannan