Black-Box: A Basic Deep Learning Framework

Overview

Black-Box is a basic deep learning framework implemented from scratch. This project aims to provide an educational tool for understanding the fundamentals of deep learning by building core components manually.

Features

• Neural Network Modules: Implementations of basic neural network layers and operations.
• Training Utilities: Functions for training models, including forward and backward propagation.
• Example Models: Sample implementations of common neural network architectures.

Installation

1. Clone the repository:

   git clone https://github.com/Aamir-M-Khan/Black-Box.git

2. Navigate to the project directory:

   cd Black-Box

3. Install dependencies:

   poetry install

Usage

To run an example model, use the following command:

python run_example.py