https://github.com/dwija12903/ai-lab

A collection of practical implementations from my AI Labs course
https://github.com/dwija12903/ai-lab

keras numpy sckit-learn tensorflow

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A collection of practical implementations from my AI Labs course

• Host: GitHub
• URL: https://github.com/dwija12903/ai-lab
• Owner: dwija12903
• Created: 2024-09-09T10:12:01.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-09T10:20:26.000Z (about 2 months ago)
• Last Synced: 2024-10-16T20:09:20.194Z (22 days ago)
• Topics: keras, numpy, sckit-learn, tensorflow
• Language: Python
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 🤖 AI Labs Course Files

Welcome to the **AI Labs Repository**! This repository contains a collection of practical implementations from my AI Labs course, covering essential concepts in Artificial Intelligence.

## 🔍 Lab Overview

The following algorithms and models have been implemented in Python (or other applicable languages) as part of the coursework:

1. **Depth-First Search (DFS)** 🌳

2. **Breadth-First Search (BFS)** 🌲

3. **Water Jug Problem** 💧

4. **Uniform Cost Search** 🧮

5. **Perceptron Model** 🧠

6. **Artificial Neural Networks (ANN)** 🔗

7. **A * Search Algorithm** 🌟

8. **Convolutional Neural Networks (CNN)** 🖼️

9. **Tic-Tac-Toe AI** 🎮

10. **Backpropagation in Perceptron** 🔄

## 🧠 Key Concepts Covered

- **Search Algorithms:** DFS, BFS, A-star, and Uniform Cost Search for problem-solving and pathfinding.

- **Neural Networks:** ANN, Perceptron, CNN, and Backpropagation for machine learning models and image processing.

- **Game AI:** Implementation of a Tic-Tac-Toe AI for strategic decision-making.

## 🗂️ File Structure

Each folder contains the source code and related files for a specific algorithm or model:

- `DFS/`: Depth-First Search

- `BFS/`: Breadth-First Search

- `WaterJug/`: Water Jug Problem

- `UniformSearch/`: Uniform Cost Search

- `Perceptron/`: Perceptron Model

- `ANN/`: Artificial Neural Networks

- `AStar/`: A* Search Algorithm

- `CNN/`: Convolutional Neural Networks

- `TicTacToe/`: Tic-Tac-Toe AI

- `Backpropagation/`: Backpropagation in Perceptron

## 🚀 How to Run

1. Clone the repository:

   ```bash

   git clone https://github.com/dwija12903/ai-lab.git

   cd AI-Labs

   ```

2. Navigate to the specific folder and run the file for each algorithm.