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Training materials for the CV side of IGCV
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Objective: Learn how to implement state-of-the-art neural networks for object detection.

Open up the lessons in Google Colab; don't rely on Github's viewer.

Lesson Overview:

  1. What is a neural network? How is one implemented using pure PyTorch in Google Colab? (in-progress)
  2. How should data be explored, analyzed, and cleaned in machine learning? (not-started)
  3. How should Detectron 2 be utilized? (not-started)
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