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lessons-pytorch

Lesson 1

  • PyTorch basics
  • Tensor visualization
  • Solving system of linear equations

Lesson 2

  • Line fitting
  • Linear regression
  • Classification via logisitic regression

Lesson 3

  • Regression and classification with neural networks with 1 hidden layer

Lesson 4

  • Splitting datasets

Lesson 5

  • Mixture of Gaussians
  • Vectorized computation using Einstein sum notation

About

My attempt at putting together a bunch of pytorch programs that illustrate how one can use pytorch for deep learning. I plan to use these in my machine learning and computer vision courses at UOIT.

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