To learn how to use PyTorch, begin with our Getting Started Tutorials. The :doc:`60-minute blitz </beginner/deep_learning_60min_blitz>` is the most common starting point, and provides a broad view into how to use PyTorch from the basics all the way into constructing deep neural networks.
Some considerations:
- We’ve added a new feature to tutorials that allows users to open the notebook associated with a tutorial in Google Colab. Visit this page for more information.
- 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.
- Additional high-quality examples are available, including image classification, unsupervised learning, reinforcement learning, machine translation, and many other applications, in PyTorch Examples.
- You can find reference documentation for the PyTorch API and layers in PyTorch Docs or via inline help.
- If you would like the tutorials section improved, please open a github issue here with your feedback.
- Check out our PyTorch Cheat Sheet for additional useful information.
- Finally, here's a link to the PyTorch Release Notes
.. customgalleryitem:: :figure: /_static/img/thumbnails/pytorch-logo-flat.png :tooltip: Understand PyTorch’s Tensor library and neural networks at a high level :description: :doc:`/beginner/deep_learning_60min_blitz`
.. customgalleryitem:: :figure: /_static/img/thumbnails/landmarked_face2.png :tooltip: Learn how to load and preprocess/augment data from a non trivial dataset :description: :doc:`/beginner/data_loading_tutorial`
.. customgalleryitem:: :tooltip: This tutorial introduces the fundamental concepts of PyTorch through self-contained examples :figure: /_static/img/thumbnails/examples.png :description: :doc:`/beginner/pytorch_with_examples`
.. customgalleryitem:: :figure: /_static/img/thumbnails/sphx_glr_transfer_learning_tutorial_001.png :tooltip: In transfer learning, a model created from one task is used in another :description: :doc:`beginner/transfer_learning_tutorial`
.. customgalleryitem:: :figure: /_static/img/hybrid.png :tooltip: Experiment with some of the key features of the PyTorch hybrid frontend :description: :doc:`beginner/deploy_seq2seq_hybrid_frontend_tutorial`
.. customgalleryitem:: :figure: /_static/img/thumbnails/floppy.png :tooltip: Explore use cases for the saving and loading of PyTorch models :description: :doc:`beginner/saving_loading_models`
.. customgalleryitem:: :figure: /_static/img/torch.nn.png :tooltip: Use torch.nn to create and train a neural network :description: :doc:`beginner/nn_tutorial`
.. customgalleryitem:: :figure: /_static/img/thumbnails/tv-img.png :tooltip: Finetuning a pre-trained Mask R-CNN model :description: :doc:`intermediate/torchvision_tutorial`
.. customgalleryitem:: :figure: /_static/img/thumbnails/eye.png :tooltip: Finetune and feature extract the torchvision models :description: :doc:`beginner/finetuning_torchvision_models_tutorial`
.. customgalleryitem:: :figure: /_static/img/stn/Five.gif :tooltip: Learn how to augment your network using a visual attention mechanism called spatial transformer networks :description: :doc:`intermediate/spatial_transformer_tutorial`
.. customgalleryitem:: :figure: /_static/img/neural-style/sphx_glr_neural_style_tutorial_004.png :tooltip: How to implement the Neural-Style algorithm developed by Gatys, Ecker, and Bethge :description: :doc:`advanced/neural_style_tutorial`
.. customgalleryitem:: :figure: /_static/img/panda.png :tooltip: Raise your awareness to the security vulnerabilities of ML models, and get insight into the hot topic of adversarial machine learning :description: :doc:`beginner/fgsm_tutorial`
.. customgalleryitem:: :figure: /_static/img/cat.jpg :tooltip: Use ONNX to convert a model defined in PyTorch into the ONNX format and then load it into Caffe2 :description: :doc:`advanced/super_resolution_with_caffe2`
.. customgalleryitem:: :figure: /_static/img/chat.png :tooltip: Train a simple chatbot using movie scripts :description: :doc:`beginner/chatbot_tutorial`
.. customgalleryitem:: :figure: /_static/img/char_rnn_generation.png :tooltip: Generate names from languages :description: :doc:`intermediate/char_rnn_generation_tutorial`
.. customgalleryitem:: :figure: /_static/img/rnnclass.png :tooltip: Build and train a basic character-level RNN to classify words :description: :doc:`intermediate/char_rnn_classification_tutorial`
.. customgalleryitem::
:tooltip: Explore the key concepts of deep learning programming using Pytorch
:figure: /_static/img/thumbnails/babel.jpg
:description: :doc:`/beginner/deep_learning_nlp_tutorial`
.. galleryitem:: intermediate/seq2seq_translation_tutorial.py :figure: _static/img/seq2seq_flat.png
.. customgalleryitem::
:tooltip: Train a generative adversarial network (GAN) to generate new celebrities
:figure: /_static/img/dcgan_generator.png
:description: :doc:`beginner/dcgan_faces_tutorial`
.. customgalleryitem::
:tooltip: Use PyTorch to train a Deep Q Learning (DQN) agent
:figure: /_static/img/cartpole.gif
:description: :doc:`intermediate/reinforcement_q_learning`
.. customgalleryitem::
:tooltip: Create extensions using numpy and scipy
:figure: /_static/img/scipynumpy.png
:description: :doc:`advanced/numpy_extensions_tutorial`
.. customgalleryitem:: :tooltip: Implement custom extensions in C++ or CUDA for eager PyTorch :description: :doc:`/advanced/cpp_extension` :figure: _static/img/cpp_logo.png
.. customgalleryitem:: :tooltip: Implement custom operators in C++ or CUDA for TorchScript :description: :doc:`/advanced/torch_script_custom_ops` :figure: _static/img/cpp_logo.png
.. customgalleryitem:: :tooltip: Loading a PyTorch model in C++ :description: :doc:`advanced/cpp_export` :figure: _static/img/cpp_logo.png
.. customgalleryitem:: :tooltip: Convert a neural style transfer model that has been exported from PyTorch into the Apple CoreML format using ONNX :description: :doc:`advanced/ONNXLive` :figure: _static/img/ONNXLive.png
.. customgalleryitem:: :tooltip: Parallelize computations across processes and clusters of machines :description: :doc:`/intermediate/dist_tuto` :figure: _static/img/distributed/DistPyTorch.jpg
.. customgalleryitem:: :tooltip: Train large models with multiple GPUs using model parallel :description: :doc:`/intermediate/model_parallel_tutorial` :figure: _static/img/distributed/DistPyTorch.jpg
.. customgalleryitem:: :tooltip: Getting started with DistributedDataParallel :description: :doc:`/intermediate/ddp_tutorial` :figure: _static/img/distributed/DistPyTorch.jpg
.. customgalleryitem:: :tooltip: PyTorch distributed trainer with Amazon AWS :description: :doc:`/beginner/aws_distributed_training_tutorial` :figure: _static/img/distributed/DistPyTorch.jpg
.. customgalleryitem::
:tooltip: Using the PyTorch C++ Frontend
:figure: /_static/img/cpp-pytorch.png
:description: :doc:`advanced/cpp_frontend`
.. toctree:: :maxdepth: 2 :hidden: :includehidden: :caption: Getting Started beginner/deep_learning_60min_blitz beginner/data_loading_tutorial beginner/pytorch_with_examples beginner/transfer_learning_tutorial beginner/deploy_seq2seq_hybrid_frontend_tutorial beginner/saving_loading_models beginner/nn_tutorial
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Image intermediate/torchvision_tutorial beginner/finetuning_torchvision_models_tutorial intermediate/spatial_transformer_tutorial advanced/neural_style_tutorial beginner/fgsm_tutorial advanced/super_resolution_with_caffe2
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Audio
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Text beginner/chatbot_tutorial intermediate/char_rnn_generation_tutorial intermediate/char_rnn_classification_tutorial beginner/deep_learning_nlp_tutorial intermediate/seq2seq_translation_tutorial
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Generative beginner/dcgan_faces_tutorial
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Reinforcement Learning intermediate/reinforcement_q_learning
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Extending PyTorch advanced/numpy_extensions_tutorial advanced/cpp_extension advanced/torch_script_custom_ops
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: Production Usage intermediate/model_parallel_tutorial intermediate/ddp_tutorial intermediate/dist_tuto beginner/aws_distributed_training_tutorial advanced/ONNXLive advanced/cpp_export
.. toctree:: :maxdepth: 2 :includehidden: :hidden: :caption: PyTorch in Other Languages advanced/cpp_frontend