Studies - cs231n

CS231n: Convolutional Neural Networks for Visual Recognition
Official site: http://cs231n.stanford.edu/

Works on Applied Machine Learning, SKKU, Summer 2020
Added summaries based on the original courseworks in Spring 2021

  • 2021-12-13 cs231n - Lecture 2. Image Classification
  • 2021-12-14 cs231n - Lecture 3. Loss Functions and Optimization
  • 2021-12-15 cs231n - Lecture 4. Neural Networks and Backpropagation
  • 2021-12-18 cs231n - Lecture 5. Convolutional Neural Networks
  • 2021-12-18 cs231n - Lecture 6. Hardware and Software
  • 2021-12-26 cs231n - Lecture 7. Training Neural Networks I
  • 2021-12-27 cs231n - Lecture 8. Training Neural Networks II
  • 2022-01-02 cs231n - Lecture 9. CNN Architectures
  • 2022-01-03 cs231n - Lecture 10. Recurrent Neural Networks
  • 2022-01-04 cs231n - Lecture 11. Attention and Transformers
  • 2022-01-09 cs231n - Lecture 12. Generative Models
  • 2022-01-19 cs231n - Lecture 13. Self-Supervised Learning
  • 2022-02-02 cs231n - Lecture 14. Visualizing and Understanding
  • 2022-02-07 cs231n - Lecture 15. Detection and Segmentation