Course Syllabus
Deliverables are shown in red
Week Topics & Readings: D=Duda, G=Goodfellow Assignments
1
Sep7
Introductions, Course Overview
D-Ch1: Intro  Math-Duda Eigen Eigenface Σ
G-Ch1: Intro  Math-GF  GPUs  Binomial Dist
ML datasets: 1 2
Video S   Probs: a. b. c.
Teams and Projects
2
Sep14
D-Ch2: Bayesian Decision Th (§1-6)  GMM
Normal Dist: Uni Multi Gauss  M  NYT  Board
D-Ch2 pr 13,14,23-25
computer 1-5.
3
Sep21
D-Ch3: Parameter Estimation (§1,2,5.1,7).
Dr. Ron Frank: Eigen-Quantum Mechanics Q
Ch2-Ex1a Ex1b Deep=>Nature Universe: 1 2
D-Ch3 pr 3, comp 1
HW1. HW2.
4
Sep28
D-Ch4: Nonparametric Tech (§1-6) V1 V2
Linear & General Regression Calc V1 V2 V3
Bishop: Pat Reco & ML Ch 1
D-Ch4 pr 9, comp 3
HW3. HW4.
5
Oct5
D-Ch5: Linear Discrim Fns (§1-5) V1 V2 V3
D-Ch6: Multilayer Neural Networks (§1-5,8)
Rosenblatt    OCR Paper
D-Ch5 prob 1, c 2
D-Ch6 prob 8, c 1,4
HW5.
Oct12 Holiday - No Class -
6
Oct19
G-Ch5: Machine Learning Basics   DL
Review for Midterm Exam
Project Paper Draft
7
Oct26
Midterm Exam -
8
Nov2
Review Midterm   Backprop videos: 1 2 3 4 5
G-Ch6: Deep Feedforward Networks
TensorFlow
9
Nov9
G-Ch9: Convolutional Networks -
10
Nov16
D-Ch3: PCA  G-Ch14: Autoencoders
 OCR Paper  Nikelshpur Dissertation
Quiz: CNN.
TensorFlow Installation
Nov23 Thanksgiving week - No Class -
11
Nov30
D-§2.8.3: Signal Det Th  Biometrics
D-Ch10: Unsupervised Learning  Choi  V1 V2
Full Paper Draft
Quiz: Autoencoders.
HW6-kmeans.
12
Dec7
Course Review
Review for Qualifying Exam
Quiz: Unsupervised
+Biometrics
.
13
Monday
Dec19
Final Exam = Qualifying Exam -
14
Dec21
G-Ch11: Practical Methodology  V1
Final Project Presentations
Course Retrospective
Project Paper: Dec 20