Все публикации

0:09:47

Artificial Intelligent - Types Agent Based Problems

0:08:11

Artificial Intelligent - Types of Environment in Agent Based Problem

0:28:00

Artificial Neural Network - Perceptron Example

0:06:16

Artificial Neural Network - Perceptron Algorithm

0:11:20

Artificial Neural Network - Hebb Nets - Example 2

0:12:50

Artificial Neural Network - Hebb Nets Example 1

0:04:56

Artificial Neural Network - Hebb nets Introduction and Algorithm

0:12:08

MaCulloch Pitts Neural Network - Example 2 (XOR)

0:13:15

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

0:03:59

McCulloch Pitts Neural Network Model - Introduction

0:17:07

Back Propagation Network Example by Deeba Kannan

0:09:22

Activation function and Algorithm - Back Propagation Network

0:08:57

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

0:09:19

Backpropagation Network Introduction - Artificial Neural Network by Deeba Kannan

0:13:37

Artificial Intelligence - Agent Based Problems

0:27:37

Turing Machine Formal Representation by Deeba Kannan

0:10:48

TOC Lec - Decidable and Undecidable problems

0:10:55

TOC Lec - Alphabet, String, Language and Power of an Alphabet

0:20:17

TOC - ENFA to NFA

0:03:18

Artificial intelligence - Local Beam search Algorithm

0:11:44

Artificial Intelligence - AO star algorithm

0:11:37

Artificial Intelligence - Simulated Annealing

0:14:32

Artificial Intelligence - water jug problem using BFS and DFS

0:10:06

Artificial Intelligence - Alpha Beta Pruning