LeNet Visualizer

Overview

LeNet Visualizer is a tool designed to visualize the operations of the LeNet neural network architecture. This project aims to provide an intuitive understanding of how the LeNet architecture processes input data through its layers, enabling users to grasp deep learning concepts more easily.

Features

• Interactive visualization of LeNet architecture
• Real-time data processing demonstration
• User-friendly interface
• Responsive design for multiple devices

Technology Stack

• JavaScript (70.2%)
• HTML (21.7%)
• Python (8.1%)

Installation Instructions

1. Clone the repository:

   git clone https://github.com/RoshRaj01/Lenet_Visualizer.git

2. Navigate to the project directory:

   cd Lenet_Visualizer

3. Open the index.html file in a web browser to start the application.

Usage Guide

• After opening index.html, you will see the LeNet architecture visualized on the screen.
• Users can input data to observe how it is processed through the network.
• Utilize the provided controls to manipulate different parameters and visualize the effects on the output.

Project Structure

Lenet_Visualizer/
│
├── index.html      # Main entry point
├── js/             # JavaScript files
├── css/            # Stylesheets
└── python/         # Python scripts (if applicable)

Contribution Guidelines

1. Fork the repository.
2. Create a new branch for your feature or bugfix:

   git checkout -b feature-name

3. Make your changes and commit them:

   git commit -m "Add some feature"

4. Push to the branch:

   git push origin feature-name

5. Open a pull request.

Support Information

For support, please open an issue in the GitHub repository or contact the maintainers directly.

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Happy Visualizing!