/ml_deep_dive

PyTorch project following along with the freeCodeCamp.org video "PyTorch for Deep Learning & Machine Learning - Full Course" at https://www.youtube.com/watch?v=V_xro1bcAuA

Primary LanguageJupyter Notebook

PyTorch Deep Learning Project

Overview

This project follows the PyTorch for Deep Learning & Machine Learning - Full Course by freeCodeCamp.org. It's focused on implementing foundational deep learning and machine learning concepts using PyTorch.

Installation

To set up the project:

  1. Clone the repository: git clone https://github.com/gizix/ml_deep_dive.git
  2. Install dependencies: Run pip install -r requirements.txt (create and activate a Python virtual environment if necessary).

Usage

  • Explore the Jupyter Notebook pytorch_fundamentals.ipynb for core PyTorch concepts.
  • Run tests in the tests directory for understanding model performance.

Features

  • Comprehensive Jupyter Notebook demonstrating PyTorch basics.
  • Structured test cases for model validation.

Contributing

Feel free to fork the project, make changes, and submit a pull request. Bug reports and feature suggestions are also welcome.

License

This project is open-sourced under the MIT License.

Acknowledgments