PyTorch Practice

PyTorch: Empowering innovation in AI with intuitive and powerful tools for deep learning.

Overview

This repository provides hands-on practice exercises and examples for PyTorch, covering a range of topics such as data preprocessing, data manipulation, linear algebra,training, optimizing neural networks, CNNs and more.

Purpose

It aims to practice the basics of using PyTorch for machine learning and deep learning.

Summary

Each section of this repository is dedicated to a specific aspect of PyTorch. The exercises are contained in Jupyter notebooks, allowing for interactive learning and experimentation.

Getting Started

1. Clone this repository to your local machine:

git clone [email protected]:IsmaelMousa/playing-with-torch.git

2. Navigate to the playing-with-torch directory:

cd playing-with-torch

3. Setup virtual environment:

python3 -m venv .venv

4. Activate the virtual environment:

source .venv/bin/activate

5. Install the required dependencies:

pip install -r requirements.txt

6. Run the Jupyter Notebook:

jupyter-notebook

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References

For more information on PyTorch, please refer to the official PyTorch documentation: PyTorch Documentation