Timeline for CS231n SVM Optimization : Mini Batch Gradient Descent
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 28, 2019 at 2:38 | comment | added | Yaofeng Wang | num_iters should be (total_number_of_examples/batch_size)*epoch. So another way to look at it is that the implementation in linear classifier.py(cs231n) has combined the "for each epoch" loop with "for each batch in batches" loop. | |
| Jun 27, 2019 at 4:20 | vote | accept | Anant | ||
| Jun 27, 2019 at 3:51 | comment | added | Anant | So num_iters is equal to (number_of_examples / batch_size) ? | |
| Jun 22, 2019 at 10:00 | review | First posts | |||
| Jun 22, 2019 at 12:10 | |||||
| Jun 22, 2019 at 9:58 | history | answered | Yaofeng Wang | CC BY-SA 4.0 |