Convolutional Neural Network (CNN) from Scratch

Welcome to the repository for the Convolutional Neural Network (CNN) implemented from scratch! This project focuses on building a CNN for image classification without relying on pre-existing deep learning frameworks.

Overview
Dependencies
Usage
Concept Code
Model Architecture
Training
Evaluation
Results
Contributing
License

Overview

This repository contains the code for implementing a Convolutional Neural Network (CNN) from scratch using Python and NumPy. The goal is to understand the fundamental components of a CNN and gain insights into the process of training a deep learning model for image classification.

Dependencies

Ensure you have the following dependencies installed:

Python (>=3.6)
NumPy
Matplotlib (for visualization, optional)

You can install the required packages using the following command:

pip install -r requirements.txt

Usage

To use the CNN, follow these steps:

Clone this repository to your local machine:

git clone https://github.com/your-username/cnn-from-scratch.git

Navigate to the project folder:
```
cd cnn-from-scratch
```
Run the main script:
```
python main.py
```
This script includes an example of loading the dataset, training the CNN, and evaluating its performance.

Concept code

Model Architecture

[Describe the architecture of your CNN. Include details about the number of layers, types of layers, and any unique features.]

Training

[Explain how to train the CNN using your dataset. Include hyperparameters, training duration, and any specific considerations.]

Evaluation

[Guide users on how to evaluate the trained model. Provide instructions on testing the model on new data.]

Results

[Include any relevant results, such as accuracy, loss curves, and visualizations. Share insights gained from the experiment.]

Contributing

If you'd like to contribute to this project, please follow these guidelines:

Fork the repository on GitHub.

Clone your forked repository to your local machine:

git clone https://github.com/your-username/cnn-from-scratch.git

Create a new branch for your changes:
```
git checkout -b feature/your-feature
```
Make your changes and commit them with descriptive commit messages:
```
git add .
git commit -m "Add your descriptive commit message"
```
Push your changes to your forked repository:
```
git push origin feature/your-feature
```
Open a pull request on the original repository.

License

This project is licensed under the Hafiz Ans License - see the LICENSE.md file for details.

Anss19-20Abrar/CNN_from_Scratch