Image Recognition using Convolutional Neural Networks (CNN)

This repository contains the LaTeX source code and PDF of a technical seminar conducted for 3rd semester students of the CSCE (AI & ML) branch.

Seminar Overview

• Topic: Image Recognition using CNN
• Audience: 3rd Semester CSCE (AI & ML)
• Duration: 55-60 minutes (appox 1 hour)
• Mode: Classroom Technical Seminar

Contents

• LaTeX Beamer source (.tex)
• Seminar presentation (.pdf)
• Diagrams and images used in the presentation

Topics Covered

• Evolution of Neural Networks
• Biological vs Artificial Neurons
• Perceptron and its limitations
• Journey from Perceptron to CNNs
• CNN architecture for image recognition
• LeNet and its significance

Academic Details

• Presenter:Misbah Tasleem NS
• Semester: 5th
• Branch: CSE (AI & ML)
• Guided by: Dr. Poornachandra (Mentor)
• HOD: Dr. Sachin Kumar
• Institution: Jain College of Engineering, Belagavi

Purpose

This seminar was conducted to help junior students understand how Convolutional Neural Networks recognize images in a simple and intuitive manner.

License

This project is shared for educational purposes.