PyTorch

Hi! I'm PyTorch
PyTorch is an open-source deep learning platform that provides a seamless path from research prototyping to production deployment. These libraries provide the official PyTorch tutorials hosted on Azure Notebooks so that you can easily get started running PyTorch on the cloud.
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Tutorials
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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 tutorials

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

  • 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
  • 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 (DQN) Tutorial
  • Spatial Transformer Networks Tutorial
  • Neural Transfer with PyTorch
  • Creating Extensions using NumPy and SciPy
  • Transfering a Model from PyTorch to Caffe2 and Mobile Using ONNX
Modified on: Aug 22, 2018
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