Stanford CS231n: Convolutional Neural Networks for Visual Recognition

40 topics in this forum

1. [A3] LSTM RNNs

   By Khue, February 29, 2016   

   • assignment
   • cs231n
   • 4 replies
   • 91 views
   • 
   • Pajai
   • June 12

2. [A1] kNN

   • 1
   • 2

   By Khue, January 7, 2016   

   • assignment
   • cs231n
   • 43 replies
   • 3,412 views
   • 
   • Sidharth Rawat
   • March 31

3. [A1] 2-layer Neural Nets

   • 1
   • 2

   By Khue, January 23, 2016   

   • assignment
   • cs231n
   • 47 replies
   • 393 views
   • 
   • 陈江
   • August 16, 2016

4. [A1] SVM

   • 1
   • 2
   • 3

   By Derek Chen, January 13, 2016   

   • assignment
   • cs231n
   • 74 replies
   • 776 views
   • 
   • Sandeep42
   • May 24, 2016

5. [A2] Convolutional Networks

   • 1
   • 2

   By Wei Xue, February 5, 2016   

   • assignment
   • cs231n
   • 35 replies
   • 354 views
   • 
   • Joe
   • April 27, 2016

6. [A3] Image Gradients

   By Shuai Wang, February 16, 2016   

   • assignment
   • cs231n
   • 3 replies
   • 68 views
   • 
   • Etienne Perot
   • April 22, 2016

7. cs231n

   General discussions

   By Khue, January 6, 2016
   • 21 replies
   • 364 views
   • 
   • Devils Must Cry
   • April 22, 2016

8. [A2] Dropout

   By Sergey Maksimov, February 2, 2016   

   • assignment
   • cs231n
   • 7 replies
   • 97 views
   • 
   • Roman Ring
   • April 8, 2016

9. [A2] Fully-Connected Neural Nets

   • 1
   • 2
   • 3

   By Khue, January 24, 2016   

   • assignment
   • cs231n
   • 58 replies
   • 1,731 views
   • 
   • Joe
   • April 8, 2016

10. [A3] Vanilla RNNs

    • 1
    • 2

    By Milton, February 12, 2016   

    • assignment
    • cs231n
    • 31 replies
    • 473 views
    • 
    • Roger Trullo
    • March 22, 2016

11. [A2] Batch Normalization

    • 1
    • 2

    By Sergey Maksimov, February 1, 2016   

    • assignment
    • cs231n
    • 30 replies
    • 214 views
    • 
    • Etienne Perot
    • March 18, 2016

12. [A3] Image Generation

    By Khue, February 29, 2016   

    • assignment
    • cs231n
    • 0 replies
    • 34 views
    • 
    • Khue
    • February 29, 2016

13. [A1] Softmax

    • 1
    • 2

    By Amit Kumar, January 22, 2016   

    • assignment
    • cs231n
    • 27 replies
    • 244 views
    • 
    • Rodman Lau
    • February 29, 2016

14. A possible alternative to Stanford CS231n: Convolutional Neural Networks for Visual Recognition (in MATLAB!) for those who do not have a powerful computer

    By Dang Manh Truong, July 9, 2016   

    • computer-vision
    • machine-learning
    • 5 replies
    • 66 views
    • 
    • dangmanhtruong
    • July 24

15. Assignments Solutions to CS231n

    By Roger Trullo, April 10
    • 0 replies
    • 6 views
    • 
    • Roger Trullo
    • April 10

16. A1: Neural Network on image features

    By Shuai Wang, January 30, 2016   

    • two_layer_net
    • 2 replies
    • 51 views
    • 
    • Xiaoliang Bai
    • December 5, 2016

17. Needs help with Adaboost on MNIST dataset : Weak learners give very high errors on first iterations :(

    By Dang Manh Truong, September 7, 2016   

    • algorithms
    • machine-learning
    • 0 replies
    • 3 views
    • 
    • Dang Manh Truong
    • September 7, 2016

18. lecture

    Lecture 10: Recurrent Neural Networks, Long Short Term Memory, Image Captioning

    By Khue, February 11, 2016   

    • cs231n
    • 1 reply
    • 44 views
    • 
    • lethienhoa
    • June 30, 2016

19. lecture

    Lecture 1: Intro to Computer Vision, historical context

    By Khue, January 6, 2016   

    • cs231n
    • 1 reply
    • 294 views
    • 
    • lethienhoa
    • June 14, 2016

20. Hw1 questions

    By dot27, March 26, 2016   

    • cs231n
    • 1 reply
    • 32 views
    • 
    • dot27
    • March 26, 2016

21. lecture

    Lecture 8: ConvNets for Spatial Localization and Object Detection

    By Khue, February 2, 2016   

    • cs231n
    • 3 replies
    • 72 views
    • 
    • Hossein Hasanpour
    • March 24, 2016

22. A general question about the developing process in the course

    By dot27, March 19, 2016   

    • cs231n
    • 2 replies
    • 39 views
    • 
    • dot27
    • March 21, 2016

23. Working with Ipyhon on Assignment 1 on the termial

    By dot27, March 15, 2016   

    • cs231n
    • 12 replies
    • 66 views
    • 
    • dot27
    • March 19, 2016

24. A1: two_layer_net training loss shooting up

    By Shuai Wang, January 30, 2016   

    • two_layer_net
    • 21 replies
    • 84 views
    • 
    • Jie Chen
    • March 17, 2016

25. lecture

    Lecture 15: Invited Talk by Jeff Dean

    By Khue, March 10, 2016   

    • cs231n
    • 0 replies
    • 20 views
    • 
    • Khue
    • March 10, 2016