Welcome to PyTorch Tutorials

To get started with learning PyTorch, start with our Beginner Tutorials. The 60-minute blitz is the most common starting point, and gives you a quick introduction to PyTorch. If you like learning by examples, you will like the tutorial Learning PyTorch with Examples

If you would like to do the tutorials interactively via IPython / Jupyter, each tutorial has a download link for a Jupyter Notebook and Python source code.

We also provide a lot of high-quality examples covering image classification, unsupervised learning, reinforcement learning, machine translation and many other applications at https://github.com/pytorch/examples/

You can find reference documentation for PyTorch’s API and layers at http://docs.pytorch.org or via inline help. If you would like the tutorials section improved, please open a github issue here with your feedback: https://github.com/pytorch/tutorials

Beginner Tutorials

Deep Learning with PyTorch: A 60 Minute Blitz

PyTorch for former Torch users

Learning PyTorch with Examples

Transfer Learning tutorial

Data Loading and Processing Tutorial

Deep Learning for NLP with Pytorch

Intermediate Tutorials

RNNs for NLP

Applying recurrent neural networks to natural language tasks, from classification to generation.

Classifying Names with a Character-Level RNN

Generating Names with a Character-Level RNN

Translation with a Sequence to Sequence Network and Attention

Reinforcement Learning

Reinforcement Learning (DQN) tutorial

Distributed Learning

Writing Distributed Applications with PyTorch

Advanced Tutorials

Neural Transfer with PyTorch

Creating extensions using numpy and scipy

Transfering a model from PyTorch to Caffe2 and Mobile using ONNX

Custom C extensions for pytorch