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