AA274_lecture_notes
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Lecture 8 Scribe Submission
Contributors: Brian Do, Esteban Mejia, Darren Mei, Wesley Guo, Minh Duc
Summary of Changes:
- Added introduction summarizing two main lecture topics
- Added Recursive Split-and-Merge Algorithm pseudocode example
- Added RANSAC graphic illustration and improved upon RANSAC explanation
- Various 1-2 sentence changes to the machine learning section adding additional information
- Clarified the difference between stochastic gradient descent, mini-batch gradient descent, regular gradient descent
- Added the "template" images reconstructed from the weights of the CIFAR-10 trained linear classifier (shown in lecture)
- Included figure showing Histogram of Oriented Gradients example