Thomas-J-Kidd/ECEN4493_transfer_learning_examples

This repository holds different examples of transfer learning methods in python notebooks and python files.

ECEN4493_transfer_learning_examples

This repository holds different examples of transfer learning methods in python notebooks and python files.

Python Notebook Usage with Various Libraries

This repository contains Python notebooks demonstrating the usage of three different Python libraries for transfer learning. Below, you'll find information about each library along with links to the respective notebook and documentation markdown files.

Libraries Used:

1. Fastai

   • Fastai is a high-level library built on top of PyTorch, providing easy-to-use APIs for deep learning tasks.

   • Fastai Documentation

   • Fastai Notebook

2. PyTorch

   • PyTorch is a popular deep learning framework known for its flexibility and dynamic computational graph construction.

   • PyTorch Documentation

   • PyTorch Notebook

3. TensorFlow

   • TensorFlow is an open-source deep learning framework developed by Google, offering both high-level APIs (like Keras) and low-level functionalities.

   • TensorFlow Documentation

   • TensorFlow Notebook

Usage Instructions:

1. Clone the repository:

   git clone git@github.com:Thomas-J-Kidd/ECEN4493_transfer_learning_examples.git
   cd ECEN4493_transfer_learning_examples

2. Open the desired notebook in a Jupyter Notebook environment or any compatible environment.

3. Follow along with the provided examples to learn how to implement transfer learning using each library.

Contributions:

Contributions to this repository are welcome! If you find any issues or improvements, feel free to open an issue or pull request.