COMP / ELEC / STAT 502

COMP / ELEC / STAT 502
Fall 2024

Schedule

The schedule of class topics, home works, tests, due dates, and handouts will come on-line in this table in a timely manner. The actual materials (lecture slides, other handouts, home work assignments) will be posted in Canvas for download. Should you have trouble with this web page please notify me and copy the TA(s).

The Lecture Notes and Handouts constitute the mandatory reading, and consist of two main ingredients:

Copies of my slides and other material that I compile for the class, posted in /Files/Lecture Notes in Canvas.
Chapters from course materials that Prof. Colin Fyfe put together for his graduate and senior courses at the University of the West of Scotland, Scotland. These will be posted in /Files/Other, mandatory text (or Files/Other, optional text).

Key to notation:
Lx-"title" = set #x of my lecture slides titled "title". EM-"other" = "other" electronic material that I may post.
CFi/k = Chapter k of Colin Fyfe's Volume i. Note that since I am using chapters from two different volumes two printed chapters may have the same number. Mark the volume # on your hardcopies.

Additional, highly recommended reading from standard text books is also listed. The references to those are given in the Course materials.
>>

No.

Date

Topic

Lecture Notes & Handouts
mandatory reading

Homework

Upload an electronic copy to Canvas by 10:35am on the
due date unless otherwise indicated in Canvas.

Recommended Reading

1

Aug 27

CLASS CANCELLED

HW01 due 8/29. Part I accepted until the late deadline w/o late penalty.
Complete parts III and IV by 9/5. (Nothing to turn in but I expect you to know.)
This is a very light (not real) home work. You will only have to submit answers to my survey to assess backgrounds. Do this HW individually.

Form HW groups for HW2 and on. We will discuss HW groups in class.

2

Aug 29

Orientation, Introduction

On your own: Review of basics (L2-ReviewOfBasics.pdf). This will help you, along with exercises in HW02, to gauge your preparedness and to catch up on background if needed. Notions / formulae that I collected in Lecture 2 (L2) will come up in various contexts at various times in the course. Alternatively, you can look these up when the time comes :-)
L1-Introduction-502.pdf
L2-ReviewOfBasics.pdf
CF2/1

Form HW groups for HW2 and on. I will send an announcement with some detail.

Haykin Ch1
or Ham & Kostanic Ch 1, Ch2.1-3

3

Sep 3

Orientation, cont'd (logistics, HW groups, etc.)
Train a single PE

L2-ReviewOfBasics.pdf
L1.1-Training-a-single-PE.pdf
CF2/1, CF2/2

HW02 due 9/10
Part of HW02 problems may be fully graded,
others only for turning in and earnestly attempting them. See details in the posted HW02. The exact manner of grading will be determined according to grading help (TBD).

Haykin Ch10
or Cover & Thomas Ch1 and Ch9

4

Sep 5
Associative memory L4-AssociativeMemory.h.pdf and L4.x files
CF1/2 Haykin Ch2.11
or Ham & Kostanic Ch 3.2

5

Sep 10
Associative memory, cont'd updated L4-AssociativeMemory.h.pdf and L4.x files
CF1/2
Haykin Ch2.11
or Ham & Kostanic Ch 3.2

6

Sep 12
Associative memory, cont'd (wrap-up)
Simple perceptron updated L4-AssociativeMemory.h.pdf and L4.x files
CF1/2
L5-Perceptrons.h.pdf and L.5x files
CF1/3
HW03 due 9/24

Haykin Ch2.11
or Ham & Kostanic Ch 3.2
Ham & Kostanic Ch 2.5-2.6; or Haykin Ch3

7
Sep 17 Preliminary to Multilayer Perceptron
Multilayer Perceptron with Back Propagation L6.0-Train-a-2layer-network.h.pdf
L6-MultiLayerPerceptron.h.part1.pdf
CF1/4
Ham & Kostanic Ch 3.3.1; or Haykin Ch4.1-4.4

8
Sep 19 Multilayer Perceptron, cont'd. Back Propagation rule.
Issues With Backprop L6-MultiLayerPerceptron.h.pdf
L7-IssuesWithMLPs.h.part1.pdf
CF1/4 Ham & Kostanic Ch 3.3.1; or Haykin Ch4.1-4.4

9
Sep 24 Issues With Backprop: Scaling, convergence, performance monitoring
Matrix BP; practical items (time permitting) L7-IssuesWithMLPs.h.pdf
L7.1-Vector-matrix-BP.h.pdf CF1/4
HW04 Part I due Oct 1
Part I will have to be re-submitted together with and Part II (posted ~Oct 1, due ~Oct 8), with optional revision to Part I based on "free" feedback we give you. See details with the Assignment(s) in Canvas. Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8

10
Sep 26 Issues With Backprop: More practical items;
HW04 samples; code structure overview L7-IssuesWithMLPs.h.pdf
L7.1-Vector-matrix-BP.h.pdf
L7.0x-HW04_sample-plots_xxx.pdf samples
L7.3_Sample-parameter-table_502.pdf
>Recommended: experiment with Jesse Hellem's HW03 code now that you are done with your HW03. Nothing to turn in, just enjoy running it and exploring limits with the characters.ascii data set (all letters plus 10 digits). The code is in the Files/Code folder. If you use the code to produce reults or write-up of discussion, remember to give credit to Jesse for the code. Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8

11
Oct 1 HW04 Part II discussion, samples;
Code structure overview;
Cross-validation; VC Dimension (time permitting) All L7-related files as listed in previous postings;
irisrun_sample.EM.m from Files/Code
L7.4-Cross-validation.h.pdf

If VC Dimension covered:
L8.0-Interrelated-issues&VC-Primer.h.pdf
L8-VC-Dimension.h.annnot.pdf
L8.2_VC-dim-example.pdf HW04 Part II due Oct 8
Part I will have to be re-submitted together with Part II (as one HW04), with optional revision to Part I. See details with the Assignment(s) in Canvas. Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8

12
Oct 3 Network Pruning: Optimal Brain Damage and Optimal Brain Surgeon
L9-NetworkPruning.pdf
L9.1-note_OBS-derivations.pdf
L9.2-RecursiveEvaluation-of-InverseHessian.pdf Haykin Ch 4.15 pp 222 - 226

13
Oct 8 Finish Network Pruning;
Unsupervised learning. Competitive learning: SCL, SOM L9 files (listed on Oct 3);
L11-CompetitiveUnsupervisedLearning.h.pdf
L11.1-Self_Organizing_Maps-EM502.pdf
CF1/5.6-8 HW05 due Oct 16 (BP application exercises including cross-validation) Ham and Kostanic Ch 4.1-4.2; or Haykin CH9.1-6

14
Oct 10 Competitive learning: SOM, cont'd; visualization, interpretation L11-CompetitiveUnsupervisedLearning.h.pdf
update of L11.1-Self_Organizing_Maps-EM502.pdf
CF1/5.6-8 Ham and Kostanic Ch 4.1-4.2; or Haykin CH9.1-6

Oct 15 FALL RECESS, no classes HW06 due Oct 26 noon
(Posting a little early to allow spacing yourself.)

15
Oct 17 QUIZ1
Material up to Oct 10, excluding competitive learning.

Competitive learning: wrap up SOMs
Review PCA in preparation for PCA networks on Oct 24
PCA material in Canvas, in Supplements/PCA-Ham&Kostanic-pp396-399.pdf or in any other standard text

16
Oct 22 Competitive Learning
SOM visualization, case studies, wrap-up.
Learning Vector Quantization (LVQ) L11-CompetitiveUnsupervisedLearning.h.pdf
L11.2-Self-organized-hand-RitterSchulten.pdf
L11.3-CompetitiveSupervisedLearning.LVQ.h.pdf
L11.3-LVQ_illustration.pdf
CF1/5.6-8 Ham and Kostanic Ch 4.1-4.2, 4.3, Haykin CH9.1-6

17
Oct 24 Unsupervised learning: Oja's PCA net, GHA net L10-whiteboard.PCAillustration.pdf
L10-UnsupervisedLearning-PCAnets.pdf
CF2/3
Review of PCA (Principle Component Analysis), from Canvas, Files/Supplements/PCA-Ham&Kostanic-pp396-399.pdf
or from any other standard text HW07 due March 19. See further instructions with the Assignment. Ham & Kostanic Ch 9.1-9.3.4; Haykin CH8.1-5

18
Oct 29 HW05, HW06 discussion, practical items Reminder of what we discussed, and general feedback is in Files/General Feedback, HW05-comments.2024F, HW05.discussion.iris-experiments.pdf, HW05.PP&discussion.pdf, HW06.discussion.pdf, HW06.SOMIllustratioins.pdf TBA

19
Oct 31 Discussion of class project, including potential topics. See Files/Supplements/NML502_Project-topics.2024F.pdf for a reminder of suggested topics we discussed, and for a recap of major points.

SOM case studies;
Network growing with Cascade Correlation update of L11.1-Self_Organizing_Maps-EM502.pdf
L14-NetworkGrowing.h.pdf

Form project groups. You may keep your HW group or re-group.
Email me your group information, similarly as you did for HW groups, by 8pm, Nov 1.
If you are re-grouping from your HW group and have difficulty finalizing it, you may send me your Project group information by noon, Sunday Nov 3 THE LATEST.
I must have your Project groups by Sunday so that I can set up a "Project Proposal" assignment in Canvas before the proposal are due on Monday.
Project proposals will be due 10pm, Nov 4. Project proposal reviews will take place Nov 5 - Nov 7 (with Nov 8 fallback). Groups can start working on their project as soon as I approved their proposal.
Schedule a 30-min meeting with me sometime during these days. Schedule well ahead of time. TBA

Nov 1
Exam 1 posts tonight in Canvas. Exam 1 information, see also in Canvas instructions. Approximate schedule is as at right. Material for midterm: up to (including) October 24 (GHA), and HW07 exercise. You will have a 36-hour allowance that you can spend in multiple sittings between the opening of Exam 1 and the ultimate deadline, 11:59pm on Nov 3. Exam 1 is due when your 36 hours have been spent, but no later than 11:59pm on Nov 3, whichever comes first. No extension, no exceptions.

Nov 5 NO CLASS
Cancelled by Rice, for Election Day You may, however, schedule class project proposal review with me on this day. TBA

20
Nov 7 Discussion, HW06 PP, and general issues from HW06, HW07
Information theoretical objective functions:
Start Cross-entropy for classification in BP; L15-InfoTheoreticalObjectiveFunctions.Cross-entropy.h.pdf Slides 1 - 9 were covered.
CH 5.1 from CF2/5.1-5.3 Ham& Kostanic A.5.5
Haykin Ch10.1 - 10.5 (refresher)

21
Nov 12 Information theoretical objective functions: Finish Cross-entropy for classification in BP;
Discussion, HW07 and PP;
TBA L15-InfoTheoreticalObjectiveFunctions.Cross-entropy.h.pdf
CH 5.1 from CF2/5.1-5.3 Ham& Kostanic A.5.5
Haykin Ch10.1 - 10.5 (refresher)

22
Nov 14 Recurrent networks: Hopfield Net L12-RecurrentNetworks-HopfieldNet.h.pdf
CF1/7.1-7.2, CF2/5.4-5.6 From now on, topics listed may or may not be covered on the date indicated, depending on how fast we can go and what else we may have to discuss with higher priority.
If a topic does not get covered on the indicated date expect it to come up soon after, and apply the posted lecture notes as appropriate. Ham & Kostanic Ch 5.1 - 5.3, Ch 5.4 - 5.6; Haykin Ch11

23
Nov 19 Better, faster learning:
Conjugate Gradients
Simulated Annealing as time permits
Alternatively: recommended slides (on your own) for Simulated Annealing Supporting lecture slides
L13-SimulatedAnnealing.h.pdf
L16-ConjugateGradients.h.pdf
CF1/7.1-7.2, CF2/5.4-5.6 Ham & Kostanic Ch 5.1 - 5.3, Ch 5.4 - 5.6; Haykin Ch11

24
Nov 21 Exam01 discussion
Project presentation logistics;
TBA lecture topic Follow instruction that I will send in Announcement, for presentation preparation. Instructions will include downloading / reading details for presentation logistics.

25
Nov 26 QUIZ2, on-line. (No physical presence needed in the class room.) Google form URL releaased at 10:50am, nominal start at 10:52am, form closed 45 minutes after nominal start.
No lecture after quiz. Material for QUIZ2: from QUIZ1 to Nov 19;
QUIZ2 will be similar in nature to QUIZ1.

Nov 28 NO CLASS, Thanksgiving

26
Dec 3 Blind Source Separation
Neural factorial codes L18-ANN-NLPCA-and-ICA-andFA.h.pdf
CF 2/6
Optional:
Neural FA demo code "Bars.McDemo" in Canvas/Code (instructions included)
L18.4_FA-net-learns.mp4
L18.4_FA-net-recall.mp4
L18.2_Factorial-codes-java-annotated.pdf Some insight to code.
L18.1_Neural-ICA-code(Ham&Kostanic).pdf

26
Apr 20 Project presentations Logistics as discussed in class and as (will have been) posted in announcement.

No.	Date	Topic	Lecture Notes & Handouts mandatory reading	Homework Upload an electronic copy to Canvas by 10:35am on the due date unless otherwise indicated in Canvas.	Recommended Reading
1	Aug 27	CLASS CANCELLED		HW01 due 8/29. Part I accepted until the late deadline w/o late penalty. Complete parts III and IV by 9/5. (Nothing to turn in but I expect you to know.) This is a very light (not real) home work. You will only have to submit answers to my survey to assess backgrounds. Do this HW individually. Form HW groups for HW2 and on. We will discuss HW groups in class.
2	Aug 29	Orientation, Introduction On your own: Review of basics (L2-ReviewOfBasics.pdf). This will help you, along with exercises in HW02, to gauge your preparedness and to catch up on background if needed. Notions / formulae that I collected in Lecture 2 (L2) will come up in various contexts at various times in the course. Alternatively, you can look these up when the time comes :-)	L1-Introduction-502.pdf L2-ReviewOfBasics.pdf CF2/1	Form HW groups for HW2 and on. I will send an announcement with some detail.	Haykin Ch1 or Ham & Kostanic Ch 1, Ch2.1-3
3	Sep 3	Orientation, cont'd (logistics, HW groups, etc.) Train a single PE	L2-ReviewOfBasics.pdf L1.1-Training-a-single-PE.pdf CF2/1, CF2/2	HW02 due 9/10 Part of HW02 problems may be fully graded, others only for turning in and earnestly attempting them. See details in the posted HW02. The exact manner of grading will be determined according to grading help (TBD).	Haykin Ch10 or Cover & Thomas Ch1 and Ch9
4	Sep 5	Associative memory	L4-AssociativeMemory.h.pdf and L4.x files CF1/2		Haykin Ch2.11 or Ham & Kostanic Ch 3.2
5	Sep 10	Associative memory, cont'd	updated L4-AssociativeMemory.h.pdf and L4.x files CF1/2		Haykin Ch2.11 or Ham & Kostanic Ch 3.2
6	Sep 12	Associative memory, cont'd (wrap-up) Simple perceptron	updated L4-AssociativeMemory.h.pdf and L4.x files CF1/2 L5-Perceptrons.h.pdf and L.5x files CF1/3	HW03 due 9/24	Haykin Ch2.11 or Ham & Kostanic Ch 3.2 Ham & Kostanic Ch 2.5-2.6; or Haykin Ch3
7	Sep 17	Preliminary to Multilayer Perceptron Multilayer Perceptron with Back Propagation	L6.0-Train-a-2layer-network.h.pdf L6-MultiLayerPerceptron.h.part1.pdf CF1/4		Ham & Kostanic Ch 3.3.1; or Haykin Ch4.1-4.4
8	Sep 19	Multilayer Perceptron, cont'd. Back Propagation rule. Issues With Backprop	L6-MultiLayerPerceptron.h.pdf L7-IssuesWithMLPs.h.part1.pdf CF1/4		Ham & Kostanic Ch 3.3.1; or Haykin Ch4.1-4.4
9	Sep 24	Issues With Backprop: Scaling, convergence, performance monitoring Matrix BP; practical items (time permitting)	L7-IssuesWithMLPs.h.pdf L7.1-Vector-matrix-BP.h.pdf CF1/4	HW04 Part I due Oct 1 Part I will have to be re-submitted together with and Part II (posted ~Oct 1, due ~Oct 8), with optional revision to Part I based on "free" feedback we give you. See details with the Assignment(s) in Canvas.	Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8
10	Sep 26	Issues With Backprop: More practical items; HW04 samples; code structure overview	L7-IssuesWithMLPs.h.pdf L7.1-Vector-matrix-BP.h.pdf L7.0x-HW04_sample-plots_xxx.pdf samples L7.3_Sample-parameter-table_502.pdf	>Recommended: experiment with Jesse Hellem's HW03 code now that you are done with your HW03. Nothing to turn in, just enjoy running it and exploring limits with the characters.ascii data set (all letters plus 10 digits). The code is in the Files/Code folder. If you use the code to produce reults or write-up of discussion, remember to give credit to Jesse for the code.	Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8
11	Oct 1	HW04 Part II discussion, samples; Code structure overview; Cross-validation; VC Dimension (time permitting)	All L7-related files as listed in previous postings; irisrun_sample.EM.m from Files/Code L7.4-Cross-validation.h.pdf If VC Dimension covered: L8.0-Interrelated-issues&VC-Primer.h.pdf L8-VC-Dimension.h.annnot.pdf L8.2_VC-dim-example.pdf	HW04 Part II due Oct 8 Part I will have to be re-submitted together with Part II (as one HW04), with optional revision to Part I. See details with the Assignment(s) in Canvas.	Ham & Kostanic Ch 3.3.2 - 3.3.7; or Haykin Ch4.5-4.8
12	Oct 3	Network Pruning: Optimal Brain Damage and Optimal Brain Surgeon	L9-NetworkPruning.pdf L9.1-note_OBS-derivations.pdf L9.2-RecursiveEvaluation-of-InverseHessian.pdf		Haykin Ch 4.15 pp 222 - 226
13	Oct 8	Finish Network Pruning; Unsupervised learning. Competitive learning: SCL, SOM	L9 files (listed on Oct 3); L11-CompetitiveUnsupervisedLearning.h.pdf L11.1-Self_Organizing_Maps-EM502.pdf CF1/5.6-8	HW05 due Oct 16 (BP application exercises including cross-validation)	Ham and Kostanic Ch 4.1-4.2; or Haykin CH9.1-6
14	Oct 10	Competitive learning: SOM, cont'd; visualization, interpretation	L11-CompetitiveUnsupervisedLearning.h.pdf update of L11.1-Self_Organizing_Maps-EM502.pdf CF1/5.6-8		Ham and Kostanic Ch 4.1-4.2; or Haykin CH9.1-6
	Oct 15	FALL RECESS, no classes		HW06 due Oct 26 noon (Posting a little early to allow spacing yourself.)
15	Oct 17	QUIZ1 Material up to Oct 10, excluding competitive learning. Competitive learning: wrap up SOMs	Review PCA in preparation for PCA networks on Oct 24 PCA material in Canvas, in Supplements/PCA-Ham&Kostanic-pp396-399.pdf or in any other standard text
16	Oct 22	Competitive Learning SOM visualization, case studies, wrap-up. Learning Vector Quantization (LVQ)	L11-CompetitiveUnsupervisedLearning.h.pdf L11.2-Self-organized-hand-RitterSchulten.pdf L11.3-CompetitiveSupervisedLearning.LVQ.h.pdf L11.3-LVQ_illustration.pdf CF1/5.6-8		Ham and Kostanic Ch 4.1-4.2, 4.3, Haykin CH9.1-6
17	Oct 24	Unsupervised learning: Oja's PCA net, GHA net	L10-whiteboard.PCAillustration.pdf L10-UnsupervisedLearning-PCAnets.pdf CF2/3 Review of PCA (Principle Component Analysis), from Canvas, Files/Supplements/PCA-Ham&Kostanic-pp396-399.pdf or from any other standard text	HW07 due March 19. See further instructions with the Assignment.	Ham & Kostanic Ch 9.1-9.3.4; Haykin CH8.1-5
18	Oct 29	HW05, HW06 discussion, practical items	Reminder of what we discussed, and general feedback is in Files/General Feedback, HW05-comments.2024F, HW05.discussion.iris-experiments.pdf, HW05.PP&discussion.pdf, HW06.discussion.pdf, HW06.SOMIllustratioins.pdf		TBA
19	Oct 31	Discussion of class project, including potential topics. See Files/Supplements/NML502_Project-topics.2024F.pdf for a reminder of suggested topics we discussed, and for a recap of major points. SOM case studies; Network growing with Cascade Correlation	update of L11.1-Self_Organizing_Maps-EM502.pdf L14-NetworkGrowing.h.pdf Form project groups. You may keep your HW group or re-group. Email me your group information, similarly as you did for HW groups, by 8pm, Nov 1. If you are re-grouping from your HW group and have difficulty finalizing it, you may send me your Project group information by noon, Sunday Nov 3 THE LATEST. I must have your Project groups by Sunday so that I can set up a "Project Proposal" assignment in Canvas before the proposal are due on Monday. Project proposals will be due 10pm, Nov 4.	Project proposal reviews will take place Nov 5 - Nov 7 (with Nov 8 fallback). Groups can start working on their project as soon as I approved their proposal. Schedule a 30-min meeting with me sometime during these days. Schedule well ahead of time.	TBA
	Nov 1	Exam 1 posts tonight in Canvas. Exam 1 information, see also in Canvas instructions. Approximate schedule is as at right. Material for midterm: up to (including) October 24 (GHA), and HW07 exercise.		You will have a 36-hour allowance that you can spend in multiple sittings between the opening of Exam 1 and the ultimate deadline, 11:59pm on Nov 3. Exam 1 is due when your 36 hours have been spent, but no later than 11:59pm on Nov 3, whichever comes first. No extension, no exceptions.
	Nov 5	NO CLASS Cancelled by Rice, for Election Day	You may, however, schedule class project proposal review with me on this day.		TBA
20	Nov 7	Discussion, HW06 PP, and general issues from HW06, HW07 Information theoretical objective functions: Start Cross-entropy for classification in BP;	L15-InfoTheoreticalObjectiveFunctions.Cross-entropy.h.pdf Slides 1 - 9 were covered. CH 5.1 from CF2/5.1-5.3		Ham& Kostanic A.5.5 Haykin Ch10.1 - 10.5 (refresher)
21	Nov 12	Information theoretical objective functions: Finish Cross-entropy for classification in BP; Discussion, HW07 and PP; TBA	L15-InfoTheoreticalObjectiveFunctions.Cross-entropy.h.pdf CH 5.1 from CF2/5.1-5.3		Ham& Kostanic A.5.5 Haykin Ch10.1 - 10.5 (refresher)
22	Nov 14	Recurrent networks: Hopfield Net	L12-RecurrentNetworks-HopfieldNet.h.pdf CF1/7.1-7.2, CF2/5.4-5.6	From now on, topics listed may or may not be covered on the date indicated, depending on how fast we can go and what else we may have to discuss with higher priority. If a topic does not get covered on the indicated date expect it to come up soon after, and apply the posted lecture notes as appropriate.	Ham & Kostanic Ch 5.1 - 5.3, Ch 5.4 - 5.6; Haykin Ch11
23	Nov 19	Better, faster learning: Conjugate Gradients Simulated Annealing as time permits Alternatively: recommended slides (on your own) for Simulated Annealing	Supporting lecture slides L13-SimulatedAnnealing.h.pdf L16-ConjugateGradients.h.pdf CF1/7.1-7.2, CF2/5.4-5.6		Ham & Kostanic Ch 5.1 - 5.3, Ch 5.4 - 5.6; Haykin Ch11
24	Nov 21	Exam01 discussion Project presentation logistics; TBA lecture topic		Follow instruction that I will send in Announcement, for presentation preparation. Instructions will include downloading / reading details for presentation logistics.
25	Nov 26	QUIZ2, on-line. (No physical presence needed in the class room.) Google form URL releaased at 10:50am, nominal start at 10:52am, form closed 45 minutes after nominal start. No lecture after quiz.	Material for QUIZ2: from QUIZ1 to Nov 19; QUIZ2 will be similar in nature to QUIZ1.
	Nov 28	NO CLASS, Thanksgiving
26	Dec 3	Blind Source Separation Neural factorial codes	L18-ANN-NLPCA-and-ICA-andFA.h.pdf CF 2/6 Optional: Neural FA demo code "Bars.McDemo" in Canvas/Code (instructions included) L18.4_FA-net-learns.mp4 L18.4_FA-net-recall.mp4 L18.2_Factorial-codes-java-annotated.pdf Some insight to code. L18.1_Neural-ICA-code(Ham&Kostanic).pdf
26	Apr 20	Project presentations	Logistics as discussed in class and as (will have been) posted in announcement.

COMP / ELEC / STAT 502 Fall 2024

Schedule

COMP / ELEC / STAT 502
Fall 2024