Getting Started with PyTorch for Deep Learning

PyTorch has become one of the most popular deep learning frameworks, especially in the research community. In this post, I’ll walk through the basics of getting started with PyTorch.

Why PyTorch?

PyTorch offers several advantages:

• Dynamic computation graphs - Makes debugging easier
• Pythonic API - Feels natural if you know Python
• Strong community - Lots of tutorials and pre-trained models

Getting Started

First, install PyTorch following the instructions on pytorch.org for your system configuration.

import torch

# Create a tensor
x = torch.tensor([1, 2, 3])
print(x)

Stay tuned for more deep learning tutorials!