Course Schedule

Mehr 1401

Session	Date	Topic	Notes
1	2 Mehr	Introduction	[slides]
2	4 Mehr	Regression	[uw416 slides], [uw446], [cs229 notes](p8-13)
3	9 Mehr	Bias-variance tradeoff, assessing performance	[uw416 slides]
4	11 Mehr	Practical: Numpy and matplotlib	[Notebook]
5	16 Mehr	Regularization	[uw446 slides], [cs229 notes](p103-115; p125-132)
6	18 Mehr	Practical: Scikit-Learn 1	[Notebook]
7	23 Mehr	Classification: Logistic Regression	[uw446 slides], [uw416 slides], [StanfordML](7 videos)
8	25 Mehr	Practical: scikit-learn 2	[Notebook]
9	30 Mehr	Neural Networks	Student presentation

Aban 1401

Session	Date	Topic	Notes
10	2 Aban	Practical: Introduction to PyTorch	[Notebook]
11	7 Aban	Neural Networks	[slides]
12	9 Aban	Practical:Activation functions	[Notebook]
13	14 Aban	Recurrent Neural Networks	[slides]
14	16 Aban	Practical: Initialization and optimization	[Notebook]
15	21 Aban	Recurrent Neural Networks	[Class 13 continued]
16	23 Aban	Project Proposal	Student presentation
17	28 Aban	Convolutional Neural Networks	[slides]
18	30 Aban	Midterm Exam (cancelled MSRT)

Azar 1401

Session	Date	Topic	Notes
19	5 Azar	Convolutional Neural Networks	[Class 17 continued]
20	7 Azar	Midterm Exam
21	12 Azar	Transfer Learning	[slides]
22	14 Azar	Practical: Inception, ResNet & DenseNet	[Notebook]
23	19 Azar	Attention Mechanism and Transformers	[slides]
24	21 Azar	cancelled
25	26 Azar	Progress Report 1
26	28 Azar	Practical: Transformers and Multi-head Attention	[Notebook]

Dey 1401

Session	Date	Topic	Notes
27	3 Dey	Interpretibility	[slides]
28	5 Dey	Adversarial Learning	[slides]
29	10 Dey	More on Transformers and BERT	[slides]
30	12 Dey	Progress Report 2