I am an Information Technology student. I like to teach technical concepts. Come join me !

Umang Chaudhary

This course will cover several essential concepts of neural networks such as : 
introduction and application of ANN
Basic Terminologies of ANN
Several Models of ANN

GATE (Graduate Aptitude Test in Engineering) 2020 & 2021 complete preparation with best educators. Know about the detailed syllabus, best books, exam pattern and dates, previous year question papers a

GATE - Iconic Pro

English

Artificial Neural Networks

Theory of Computation

CS & IT

GATE - CSIT, DSAI & Interview Preparation

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Introducing Neural Networks with reasons to study ANN, its applications, and concept of biological neuron

Introduction to Neural Networks

Comparison of Human Brain and Computers, basic structure of ANN, Advantages of ANN

Basics of Neural Networks

Evolution of various NN models and types of Models in ANN

Evolution and Types of ANN Models

Supervised, Unsupervised and Reinforcement Learning. Introduction to activation functions

Learning Types in ANN

Several activation functions and some important terminologies

Types of Activation Functions and Terminologies used for ANN

Discussing MP NN Model, it's architecture, it's implementation for AND and ANDNOT function

McCulloch Pitts Neural Network

Hebb Network Homework Problems, Perceptron model basic understanding

Perceptron NN Model

Hebb Network Architecture, Hebb Learning Rule, Implementation of AND function using Hebb Network

Hebb Network and Learning Rule


I have got an  NPTEL elite certificate in Data structure using C and also gold medalist in Joy of computing with python. 


Alok Dixit

In this Course we learn how we construct such machines which gives output. In this we learn how the machine run with associated output for Gate exam Aspirants.

(Hindi) Theory of Computation with Output

AWS Cloud Support Associate(Networking); B.Tech-IT from Maharaja Surajmal Institute of Technology.

Payal Gupta

In this course, the educator is Describing basic concepts of TOC which is helpful for GATE Aspirants.

Introduction To TOC: GATE

A Mechanical  Engineer by profession and a Computer Science Enthusiast by heart. I love working on scientific and numerical computation.

Vishwesh Ravi Shrimali

This course is for people who want to learn MATLAB to apply it in any project and that too in a short time. The course will cover the basics of MATLAB using examples from various domains

(Hindi) Introduction to MATLAB

Mentored 81,000+ Students | My Multiple Students secured AIR Below 100 in GATE | Joined top IISc, IITs & NITs | Joined PSUs | 5+ Years Exp.

Sweta Kumari

In this course, Sweta Kumari discusses some key concepts of Theory of Computation with Short Tricks. The course will be beneficial for GATE aspirants.

(Hindi) Short Tricks for Theory of computation for GATE 2018

BE , ME (Computer Science Engineering)
3 years of Experience in teaching Engineering students.

Rachana Pathak

In this course, the educator discusses the Minimization Of DFA or Minimal DFA. The course will be beneficial for GATE Aspirants.

(Hindi) Part 1: Minimal DFA or Minimization Of DFA

I am pursuing M.tech from Lovely professional University in CSE.I have other talent which is Trading.

Nikhil Ravi

In this course, educator will be teaching about
Theoretical computer science (TCS) is a subset of general computer science and mathematics that focuses on more mathematical topics of computing and includes the theory of computation. It is difficult to circumscribe the theoretical areas precisely.

Lessons

8 lessons • 1h 9m

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Introduction to Neural Networks

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Basics of Neural Networks

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Evolution and Types of ANN Models

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Learning Types in ANN

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Types of Activation Functions and Terminologies used for ANN

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McCulloch Pitts Neural Network

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Perceptron NN Model

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Hebb Network and Learning Rule