PyTorch is an open-source machine learning library that provides a wide range of tools and libraries for deep learning and computer vision. This documentation page provides an overview of the PyTorch library, its features, and how to get started.

Features

  • Ease of Use: PyTorch provides a user-friendly interface that is easy to learn and use for both beginners and experienced users.
  • Dynamic Computation: PyTorch supports dynamic computation graphs, allowing for more flexible and intuitive programming.
  • Extensibility: PyTorch can be easily extended with custom modules and layers.
  • Community Support: PyTorch has a large and active community, providing extensive resources and support.

Getting Started

To get started with PyTorch, follow these steps:

  1. Install PyTorch: Download and install PyTorch from the official website: PyTorch Installation
  2. Hello World: Run your first PyTorch script with the following code:
import torch

x = torch.tensor([1., 2., 3.])
y = 2 * x + 1
print(y)
  1. Learn More: Visit the PyTorch Tutorials for a wide range of examples and guides.

Images

  • Neural Network

For further reading, you can explore the following topics: