Welcome to PyTorch Tutorials
============================
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 <https://pytorch.org/tutorials/beginner/colab.html>`_ 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
<https://github.com/pytorch/examples/>`_.
* You can find reference documentation for the PyTorch API and layers in `PyTorch Docs
<https://pytorch.org/docs>`_ or via inline help.
* If you would like the tutorials section improved, please open a github issue
`here <https://github.com/pytorch/tutorials>`_ with your feedback.
* Check out our
`PyTorch Cheat Sheet <https://pytorch.org/tutorials/beginner/ptcheat.html>`_
for additional useful information.
* Finally, here's a link to the
`PyTorch Release Notes <https://github.com/pytorch/pytorch/releases>`_
Getting Started
------------------
.. 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/thumbnails/floppy.png
:tooltip: Explore use cases for the saving and loading of PyTorch models
:description: :doc:`beginner/saving_loading_models`
.. .. galleryitem:: beginner/saving_loading_models.py
.. customgalleryitem::
:figure: /_static/img/thumbnails/pytorch_tensorboard.png
:tooltip: Learn to use TensorBoard to visualize data and model training
:description: :doc:`intermediate/tensorboard_tutorial`
.. customgalleryitem::
:figure: /_static/img/torch.nn.png
:tooltip: Use torch.nn to create and train a neural network
:description: :doc:`beginner/nn_tutorial`
.. raw:: html
<div style='clear:both'></div>
Image
----------------------
.. 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`
.. raw:: html
<div style='clear:both'></div>
Audio
----------------------
.. customgalleryitem::
:figure: /_static/img/audio_preprocessing_tutorial_waveform.png
:tooltip: Preprocessing with torchaudio Tutorial
:description: :doc:`beginner/audio_preprocessing_tutorial`
.. raw:: html
<div style='clear:both'></div>
Text
----------------------
.. customgalleryitem::
:figure: /_static/img/chat.png
:tooltip: Train a simple chatbot using movie scripts
:description: :doc:`beginner/chatbot_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::
:figure: /_static/img/char_rnn_generation.png
:tooltip: Generate names from languages
:description: :doc:`intermediate/char_rnn_generation_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: Sentiment Ngrams with Torchtext
:figure: /_static/img/text_sentiment_ngrams_model.png
:description: :doc:`/beginner/text_sentiment_ngrams_tutorial`
.. raw:: html
<div style='clear:both'></div>
Generative
----------------------
.. customgalleryitem::
:tooltip: Train a generative adversarial network (GAN) to generate new celebrities
:figure: /_static/img/dcgan_generator.png
:description: :doc:`beginner/dcgan_faces_tutorial`
.. raw:: html
<div style='clear:both'></div>
Reinforcement Learning
----------------------
.. customgalleryitem::
:tooltip: Use PyTorch to train a Deep Q Learning (DQN) agent
:figure: /_static/img/cartpole.gif
:description: :doc:`intermediate/reinforcement_q_learning`
.. raw:: html
<div style='clear:both'></div>
Extending PyTorch
----------------------
.. 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
.. raw:: html
<div style='clear:both'></div>
Production Usage
----------------------
.. customgalleryitem::
:tooltip: Introduction to TorchScript
:description: :doc:`beginner/Intro_to_TorchScript_tutorial`
:figure: _static/img/torchscript.png
.. customgalleryitem::
:figure: /_static/img/torchscript.png
:tooltip: Experiment with some of the key features of the TorchScript
:description: :doc:`beginner/deploy_seq2seq_hybrid_frontend_tutorial`
.. customgalleryitem::
:tooltip: Loading a PyTorch model in C++
:description: :doc:`advanced/cpp_export`
:figure: _static/img/cpp_logo.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: Deploying PyTorch and Building a REST API using Flask
:description: :doc:`/intermediate/flask_rest_api_tutorial`
:figure: _static/img/flask.png
.. customgalleryitem::
:figure: /_static/img/cat.jpg
:tooltip: Exporting a Model from PyTorch to ONNX and Running it using ONNXRuntime
:description: :doc:`advanced/super_resolution_with_onnxruntime`
.. raw:: html
<div style='clear:both'></div>
PyTorch in Other Languages
-------------
.. customgalleryitem::
:tooltip: Using the PyTorch C++ Frontend
:figure: /_static/img/cpp-pytorch.png
:description: :doc:`advanced/cpp_frontend`
.. raw:: html
<div style='clear:both'></div>
.. -----------------------------------------
.. Page TOC
.. -----------------------------------------
.. 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
intermediate/tensorboard_tutorial
beginner/saving_loading_models
beginner/nn_tutorial
beginner/Intro_to_TorchScript_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
.. toctree::
:maxdepth: 2
:includehidden:
:hidden:
:caption: Audio
beginner/audio_preprocessing_tutorial
.. toctree::
:maxdepth: 2
:includehidden:
:hidden:
:caption: Text
beginner/chatbot_tutorial
intermediate/char_rnn_classification_tutorial
intermediate/char_rnn_generation_tutorial
beginner/deep_learning_nlp_tutorial
intermediate/seq2seq_translation_tutorial
beginner/text_sentiment_ngrams_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
intermediate/flask_rest_api_tutorial
beginner/aws_distributed_training_tutorial
advanced/cpp_export
advanced/super_resolution_with_onnxruntime
.. toctree::
:maxdepth: 2
:includehidden:
:hidden:
:caption: PyTorch in Other Languages
advanced/cpp_frontend