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 |