-
Due
29 Mar 2024 by
17:00
-
Points
1
-
Available
after 15 Jan 2024 at 9:00
Deep Belief Nets (DBNs)
Please find the lab instructions here
Download here along with the dataset
Download dataset and Python code ver. 1.2
Download Python code ver. 1.2.
In addition, some slides
Download slides that provide more conceptual detail about Hinton et al.'s (2006) architecture are added, including a
Download video version of the corresponding presentation.
Here
Download Here you can also download the original sources cited in the instructions.
There is also an extra lab 4 Q&A page, inspired by your questions and enquiries.
1711728000
03/29/2024
05:00pm
Rubric
Title
You've already rated students with this rubric. Any major changes could affect their assessment results.
Can't change a rubric once you've started using it.
Title
Criteria |
Ratings |
Pts
|
This criterion is linked to a learning outcome
Description of criterion
threshold:
5 pts
|
5
to >0 Pts
Full marks
blank
0
to >0 Pts
No marks
blank_2
This area will be used by the assessor to leave comments related to this criterion.
|
pts
/
5 pts
--
|
This criterion is linked to a learning outcome
Description of criterion
threshold:
5 pts
|
5
to >0 Pts
Full marks
blank
0
to >0 Pts
No marks
blank_2
This area will be used by the assessor to leave comments related to this criterion.
|
pts
/
5 pts
--
|