ABCDEFGHIJKLMNOPQRSTUVWXYZAAAB
1
CS 229: Summer 2026
2
Lectures: Tue, Thu: 4.30-6.15pm, NVIDIA Auditorium (Huang Center)
3
CA Lectures: Fridays 1.30-3.00pm, Skilling Auditorium
4
DateLecture TopicsInstructorNoteDeliverablesClass NotesSlides
5
Week 1Lecture 16/23/2026Intro; Linear Regression; Least squaresJehangirReleased: Problem Set 0
NOT GRADED		Section 1 of main notesSlides (Canvas)
6
Lecture 26/25/2026Gradient Descent;
Performance Evaluation; Bias-Variance Tradeoff		JehangirReleased: Problem Set 0
NOT GRADED		Section 8.1, 8.2 of main notesSlides (Canvas)
7
CA Lecture 16/26/2026Linear Algebra ReviewCA: Lucy ShiRelease: Problem Set 1NotesSlides (Canvas)
8
Week 2CA Lecture 26/29/2026Probability ReviewCA: Lucy ShiDue to the July 4th holiday on Friday, this CA lecture is moved to earlier (Monday) on 06/29.
Time: 3.30-5pm PT (Skilling Auditorium).		NotesSlides (Canvas)
9
Lecture 36/30/2026Regularization, Ridge, LASSO;
Validation, Cross Validation		JehangirProblem Set 0 Solutions ReleasedSection 9.1, 9.3 of main notesSlides (Canvas)
10
Lecture 47/2/2026Linear classifiers; logistic regression;JehangirSection 2 of the main notesSlides (Canvas)
11
7/3/2025US HolidayNo CA Lecture today. Note: CA Lecture 2 is earlier in the week on 06/29 (Monday)
12
Week 3Lecture 57/7/2026Generalized Linear Models; SGD;JehangirSection 3 of the main notesSlides (Canvas)
13
Lecture 67/9/2026Decision trees; Bagging
k-Nearest Neighbors [Optional: not on the exam]; 		JehangirDecision TreesSlides (Canvas)
14
CA Lecture 37/10/2026Boosting; Evaluation Metrics;CA: Michael ZhangDUE: Problem Set 1
Released: Problem Set 2		Boosting (Canvas)
Eval Metrics (Canvas)
15
Week 4Lecture 77/14/2026Neural Networks IJehangirSections 7.1, 7.2, 7.3 of main notesSlides (Canvas)
16
Lecture 87/16/2026Neural Networks IIJehangirSection 7.4 of main notes
17
CA Lecture 47/17/2026Sequence Models (RNNs, LSTMs, ..)CA: Michael Zhang
18
Week 5Lecture 97/21/2026Unsupervised learning; k-means; GMMAnandSection 10 of the main notes
19
Lecture 107/23/2026EM for GMMAnandSections 11.1, 11.2, 11.3 of the main notes
20
CA Lecture 57/24/2026TransfomersCA: Michael ZhangDue: Problem Set 2
Problem Set 3 Released
21
Week 6Lecture 117/28/2026PCA; ICAAnandSection 12 of main notes
22
Lecture 127/30/2026Reinforcement Learning 1AnandSection 15
23
CA Lecture 67/31/26Exam ReviewCA: Haotian Ye
24
Week 7Lecture 138/4/2026Reinforcement Learning 2AnandSection 15
25
Lecture 148/6/2026Transfomers + RLAnand- The Illustrated Transformer
- CS 224N notes
26
CA Lecture 78/7/2026Exam ReviewCA: Haotian YeDue: Problem Set 3
27
Week 8Lecture 158/11/2026VAEAnand
28
Lecture 168/13/2026Exam Review; Course ConclusionAnand
29
Final Exam8/15/2026Final Exam. 7-10pm.
Location: TBD
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100