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파이토치(PyTorch) 튜토리얼에 오신 것을 환영합니다

PyTorch를 어떻게 사용하는지 알고 싶다면 시작하기(Getting Started) 튜토리얼부터 시작해보세요. 파이토치(PyTorch)로 딥러닝하기: 60분만에 끝장내기 가 가장 일반적인 출발점으로, 심층 신경망(deep neural network)을 구축할 때 PyTorch를 어떻게 사용하는지에 대한 전반적인 내용을 기본부터 제공합니다.

(역자 주: 한국어 번역에 대한 오타나 오역을 발견하시면 번역 저장소이슈 또는 PR 을 남겨주세요.)

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

오디오 (Audio)

생성 모델 (Generative)

강화 학습 (Reinforcement Learning)

다른 언어에서의 PyTorch (PyTorch in Other Languages)

Docs

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Tutorials

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Resources

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