CMPT 880 G1: All Pages
| Label | Page Title | Can Read | Can Edit | Modified |
|---|---|---|---|---|
| background | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| batch-normal | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| bengio-summary | 1-paragraph summary. | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 |
| bias-variance | anybody | instructor and TAs | Thu Feb. 07 2019, 16:57 | |
| bns | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| cluster | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| cnn-notebook | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| cnn-slides | anybody | instructor and TAs | Tue Feb. 26 2019, 14:22 | |
| code-ann | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| crick-brain | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| crick-excitement | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| deep-hierarchy | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| deepsvm | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| deepvskernel | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| demos | Miscellaneous Neural Network Demos | anybody | students, instructor and TAs | Tue Jan. 01 2019, 16:38 |
| equiv-svm-ann | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| equiv-svm-ann-summ | Brief Summary of SVM - ANN Equivalence | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 |
| excel-examples | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| graph-short | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| hierarchy | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| Homework2_data.zip | anybody | instructor and TAs | Thu Feb. 14 2019, 10:57 | |
| Homework2_Description | anybody | instructor and TAs | Thu Feb. 14 2019, 10:56 | |
| homework2-hints | anybody | instructor and TAs | Thu Feb. 28 2019, 16:48 | |
| Index | Deep Learning - CMPT 880 G1 | anybody | students, instructor and TAs | Mon April 15 2019, 23:13 |
| InterpretableML | anybody | instructor and TAs | Thu Feb. 28 2019, 16:55 | |
| Intro | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| k-nn | anybody | instructor and TAs | Tue Jan. 08 2019, 16:17 | |
| linear | anybody | instructor and TAs | Thu Jan. 10 2019, 17:42 | |
| logregviz | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| model-summary | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| neural-net | anybody | instructor and TAs | Wed Jan. 30 2019, 15:52 | |
| nlp-example | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| PCA | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| pca-notebook | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| presentation | Examples of Presentation Topics | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 |
| project-outline | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| project-outlines | Information for Project Outline Presentations | anybody | instructor and TAs | Thu March 14 2019, 14:50 |
| projects | Course Projects CMPT 880 - Deep Learning | anybody | instructor and TAs | Mon April 08 2019, 13:44 |
| projects-format | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| projects-info | Final Projects Format and Grading | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 |
| rl-slides | anybody | instructor and TAs | Wed March 20 2019, 10:02 | |
| rlu | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| ruslan-tutorial1 | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| ruslan-tutorial2 | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| sentiment | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| short-survey | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| stanford-train | anybody | instructor and TAs | Tue Jan. 29 2019, 15:12 | |
| summary | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| Syllabus | anybody | instructor and TAs | Wed Jan. 16 2019, 22:27 | |
| tenenbaum | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| test-instances | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| theano | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| topics | Information for Topic Presentations | anybody | instructor and TAs | Thu Jan. 24 2019, 21:15 |
| trace | anybody | instructor and TAs | Thu Jan. 24 2019, 14:42 | |
| training | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 | |
| vision-example | anybody | instructor and TAs | Tue Jan. 01 2019, 16:38 |