Neural Networks and PyTorch Projects

This repository contains various assignments and projects related to neural networks, machine learning, and data processing using PyTorch. The primary focus is on exploring and implementing foundational concepts such as neural networks, activation functions, and data manipulation techniques.

Technologies Used

• Python: The main programming language used for all implementations.
• PyTorch: A deep learning framework used for building, training, and evaluating neural networks.
• Torchvision: A library that provides easy access to popular datasets like MNIST and utilities for working with image data.
• NumPy: For numerical computations and data manipulation.
• Jupyter Notebooks: For interactive coding and detailed explanations of the tasks.

Setup

To run the code and work with the notebooks, you'll need to install Python and the necessary libraries. Follow the steps below:

1. Clone the repository:

   git clone https://github.com/allenvox/neural
   cd neural

2. Install the required dependencies:

   python -m pip install torch torchvision numpy jupyterlab matplotlib

Usage

• The repository contains code files and Jupyter notebooks for various assignments.
• Each notebook or .py file is self-contained and focuses on specific concepts related to neural networks or tensor manipulation.
• You can run the notebooks or scripts locally to explore the implementations.