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A brief introduction to PyTorch

At Leipzig Python User Group, Meetup / Homepage, 2018-02-13 19:00 at Basislager.

We looked briefly at the history of deep learning and one modern deep learning framework: PyTorch.

Notebooks we worked through:

  1. Benchmark: Python vs NumPy vs PyTorch
  2. Basic PyTorch: The tensor class, numpy-torch interop
  3. Automatic differentiation: A brief excursion into autograd, a library that can automatically differentiate native Python and Numpy code.
  4. Basic Multilayer Perceptron: A basic multilayer perceptron learning example with random data.
  5. CIFAR10: A convolutional neural net for recognizing objects in small images.

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A brief introduction to pytorch at https://twitter.com/lpyug.

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