Learning PyTorch from Beginning to End

This repository contains a collection of Jupyter notebooks that will guide you through learning PyTorch, a popular open-source machine learning library.

Table of Contents

• Introduction to PyTorch
• Tensors in PyTorch
• Autograd in PyTorch
• Building Neural Networks in PyTorch
• Training a Neural Network in PyTorch
• Saving and Loading Models in PyTorch
• Transfer Learning with PyTorch

Requirements

• Python 3
• PyTorch
• Jupyter Notebook or JupyterLab

Installation

Clone this repository. git clone https://github.com/your-username/pytorch-learning.git cd pytorch-learning

Create a virtual environment and activate it.

python3 -m venv env source env/bin/activate

Install the required packages.

pip install -r requirements.txt Launch Jupyter Notebook or JupyterLab and navigate to the notebooks directory.

Copy code jupyter lab notebooks/

Acknowledgements

These notebooks are heavily inspired by the official PyTorch tutorials and the book "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann. I highly recommend checking out these resources for a more comprehensive understanding of PyTorch.