Course schedule is subject to adjustment
Lecture notes are typically updated before or after the lecture
Part I: 1950 and before stuff (Need confirmation on time-line), old mindset
Week 1
Aug 26: Introduction, Probability Theory (Slide)
Aug 28: Bayes Probability Theory (Slide_Updated), (Python Supplement slides, code)
Week 2
Sept 2: (Labor's Day Recess)
Sept 4: Belief network (Slide Updated)
Week 3
Sept 09: Gaussian Distribution, Bayes classifier with 1D Gaussian model (Slide Updated)
Sept 11: Multivariate Gaussian, Bayes classifier with multivariate Gaussian model (Slide Updated)
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Week 4
Sept 16: Naive Bayes Classification, Methods of Model Evaluation (Slide Updated)
Sept 18: Linear Regression (Slide Updated)
Part II: Mostly 1990 - 2010 Stuff, New mindset
Week 5
Sept 23: Fully-Connected Layer, Multi-layer Network (Slides and example)
Sept 25: Forward Propagation by Example (Slide)
Week 6
Sept 30: Perceptron, Classification Problem (Slides)
Oct 02: Review and Discussion
Week 7
Oct 07: Midterm I
Oct 09: Classification Problem (Slides in Sept 30), Comment on PyTorch (Slide, regression example in Sept 23)
Week 8
Oct 14: Comment on PyTorch (Slide in Oct 09, classification example)
Project Kickoff (Slide and file, Imagenette Team Registration)
Convolution and Image Recognition (Slide)
Oct 16: Convolution and image recognition
Week 9
Oct 21: Prominent Image-related problem and models (Slides as in Oct 14)
Oct 23: Discussing on project and PyTorch (example)
Week 10, a little bit mad
Oct 28: Loss function, Back Propagation, Dropout, Stochastic Gradient Descent (Notes and examples)
Oct 30: Loss function, Back Propagation, Dropout, Stochastic Gradient Descent (Notes)
Week 11
Nov 04: Project I Demonstration
Nov 06: Loss function, Back Propagation, Dropout, Stochastic Gradient Descent, Project II Statement (Project Slide)
Week 12
Nov 11: (Veteran's Day Recess)
Nov 13: Midterm II
Part III: Era that AMD and NVIDIA Soar
Week 13
Nov 18: Autoencoder, generative network (Slide)
Nov 20: Recurrent Network (Slide)
Week 14
Nov 25: Attention and self-attention (Slide)
Nov 27: (Thanksgiving Recess)
Week 15
Dec 02: Transformer (Slide), History of AI (Slide)
Dec 04: Project II Presentation