Diving Deep into PyTorch

Part 2 (2019)
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I’ve been working a series of tutorials called PyTorch: Zero to GANs, inspired from the FastAI development notebooks. The first 3 tutorials are live at the moment:

  1. PyTorch Basics: Tensors & Gradients
  2. Linear Regression and Gradient Descent
  3. Image Classification using Logistic Regression
  4. more coming soon (CNNs, RNNs, GANs etc.)

With some help from the Bangalore study group, we are also planning to conduct workshops and put the recordings online. I hope this will be useful resource for learning PyTorch in depth.

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