CMPT 980 G2: All Pages
Label | Page Title | Can Read | Can Edit | Modified |
---|---|---|---|---|
20Newsgroups_subsampled | anybody | instructor and TAs | Tue Feb. 18 2020, 12:20 | |
advanced-auto-encoders | anybody | instructor and TAs | Wed March 25 2020, 16:51 | |
Assignment1.ipynb | anybody | instructor and TAs | Sun Jan. 26 2020, 13:30 | |
Assignment1.pdf | anybody | instructor and TAs | Sun Jan. 26 2020, 13:30 | |
Assignment2.html | anybody | instructor and TAs | Tue Jan. 28 2020, 09:42 | |
Assignment2.ipynb | anybody | instructor and TAs | Tue Jan. 28 2020, 09:41 | |
Assignment3.html | anybody | instructor and TAs | Thu Feb. 27 2020, 15:41 | |
Assignment3.ipynb | anybody | instructor and TAs | Thu Feb. 27 2020, 15:39 | |
Assignment4.html | anybody | instructor and TAs | Wed March 11 2020, 18:36 | |
Assignment4.ipynb | anybody | instructor and TAs | Wed March 11 2020, 18:37 | |
auto-encoder | anybody | instructor and TAs | Wed March 18 2020, 17:27 | |
background | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
batch-normal | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
bengio-summary | 1-paragraph summary. | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 |
bias-variance | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
bns | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
cluster | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
cnn-notebook | anybody | instructor and TAs | Fri Nov. 29 2019, 11:49 | |
cnn-slides | anybody | instructor and TAs | Wed Feb. 05 2020, 18:21 | |
code-ann | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
crick-brain | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
crick-excitement | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
Dataset2 | anybody | instructor and TAs | Mon Jan. 27 2020, 19:58 | |
deep-hierarchy | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
deep-rl-intro | anybody | instructor and TAs | Wed April 08 2020, 17:11 | |
deepsvm | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
deepvskernel | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
demos | Miscellaneous Neural Network Demos | anybody | students, instructor and TAs | Fri Nov. 29 2019, 11:50 |
discuss-canvas | anybody | instructor and TAs | Wed April 08 2020, 17:29 | |
embeddings | anybody | instructor and TAs | Wed March 11 2020, 17:32 | |
EnglishLiterature | anybody | instructor and TAs | Tue Feb. 18 2020, 12:21 | |
equiv-svm-ann | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
equiv-svm-ann-summ | Brief Summary of SVM - ANN Equivalence | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
excel-examples | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
final-info | anybody | instructor and TAs | Wed April 08 2020, 17:13 | |
final-instructions | anybody | instructor and TAs | Tue April 14 2020, 16:35 | |
final-questions | anybody | instructor and TAs | Fri April 10 2020, 22:47 | |
graph-short | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
hierarchy | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
Homework1 | anybody | instructor and TAs | Thu Jan. 30 2020, 13:31 | |
Homework2 | anybody | instructor and TAs | Wed March 04 2020, 15:14 | |
Homework2_data.zip | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
Homework2_Description | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
homework2-hints | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
homework4 | anybody | instructor and TAs | Mon March 23 2020, 17:04 | |
Index | Deep Learning - CMPT 980 G1 | anybody | instructor and TAs | Tue April 14 2020, 12:26 |
InterpretableML | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
Intro | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
k-nn | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
linear | anybody | instructor and TAs | Wed Jan. 22 2020, 17:24 | |
logregviz | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
midterm-info | anybody | instructor and TAs | Wed Feb. 26 2020, 15:17 | |
midterm-instructions | anybody | instructor and TAs | Sun March 01 2020, 22:34 | |
midterm-solution | anybody | instructor and TAs | Sat March 07 2020, 11:38 | |
model-summary | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
neural-net | anybody | instructor and TAs | Wed Jan. 29 2020, 17:10 | |
nlp-example | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
PCA | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
pca-notebook | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
presentation | Examples of Presentation Topics | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
project-outline | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
project-outlines | Information for Project Outline Presentations | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
projects | Course Projects CMPT 880 - Deep Learning | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
projects-format | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
projects-info | Final Projects Format and Grading | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
rl-intro | anybody | instructor and TAs | Wed April 08 2020, 17:11 | |
rl-slides | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
rlu | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
rnn | anybody | instructor and TAs | Sat Feb. 29 2020, 10:39 | |
ruslan-tutorial1 | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
ruslan-tutorial2 | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
schedule | anybody | instructor and TAs | Tue April 14 2020, 10:46 | |
sentiment | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
short-survey | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
stanford-rnn | anybody | instructor and TAs | Sat Feb. 29 2020, 10:40 | |
stanford-train | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
stanford-training | anybody | instructor and TAs | Sat Feb. 29 2020, 10:40 | |
summary | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
Syllabus | anybody | instructor and TAs | Mon Jan. 06 2020, 18:36 | |
tenenbaum | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
test-instances | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
theano | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
topics | Information for Topic Presentations | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |
trace | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 | |
training | anybody | instructor and TAs | Wed Jan. 29 2020, 17:12 | |
transformers | anybody | instructor and TAs | Tue April 14 2020, 10:45 | |
vision-example | anybody | instructor and TAs | Fri Nov. 29 2019, 11:50 |