Notes and assignments for Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition
Notes
- Lecture 6: ConvNets: History, Motivation, Applications + Hubel Weisel
- Lecture 6: Dropout Layers (Regularization)
- CS231 resources
- http://cs231n.github.io
- cs231n Syllabus (Slides + Notes)
- cs231n Youtube lectures
- cs231n Project reports
- cs231n Reddit subgroup
- cs231n Github Repository
- cs231n Twitter
- Linear Classification Loss Visualization Demo
- Linear classification notes
- cs231n notes: Visually understanding CNNs
- Tutorials
- cs231n python/numpy tutorial
- cs231n ipython notebook tutorial
- Yeh Tutorial: Deep learning + Jupyter + AWS/EC2 -CS231n AWS tutorial
- Related courses
- Stanfurd Statistical Learning
- Other
- AWS credits for research
- AWS Educate FAQ
- UC Davis AWS signup form
- DIBS AWS Tutorial
- AWS Credits
- AWS Activate signup
- Reddit | Way to get AWS promo credits
- AWS Educate