Lecture	Date	Topics	Slides, Videos	Additional Materials	Quiz
0		Course Logistics Learning Objectives Grading Deadlines	Slides YouTube		No Quiz
1	August 24	Introduction	Slides YouTube MediaServices		Quiz 1: Aug 28 – Aug 30
2	August 26	Neural Nets As Universal Approximators	Slides YouTube MediaServices	IIT CS6840: Size and Depth Complexity of Boolean Circuits The Synthesis of Two-Terminal Switching Circuits
3	August 31	Training Part I The Problem of Learning Empirical Risk Minimization	Slides YouTube MediaServices		Quiz 2: Sep 4 – Sep 6
4	September 2	Training Part II Gradient Descent Training the Network	Slides YouTube MediaServices
5	September 9	Training Part III Backpropagation Calculus of Backpropagation	Slides YouTube MediaServices		Quiz 3: Sep 11 – Sep 13
6	September 11	Training Part IV Convergence issues Loss Surfaces Momentum	Slides YouTube MediaServices
7	September 14	Training Part V Optimization Batch Size, SGD, Mini-batch, Second-order Methods	Slides YouTube MediaServices		Quiz 4: Sep 18 – Sep 20
8	September 16	Training Part VI Optimizers and Regularizers Choosing a Divergence (Loss) Function Batch Normalization Dropout	Slides YouTube MediaServices
9	September 21	Convolutional Neural Networks (CNNs) I	Slides YouTube MediaServices		Quiz 5: Sep 25 – Sep 27
10	September 23	CNNs II	Slides YouTube MediaServices
11	September 28	CNNs III	Slides YouTube MediaServices		Quiz 6: Oct 2 – Oct 4
12	September 30	CNNs IV	Slides YouTube MediaServices
13	October 5	Recurrent Neural Networks (RNNs) I	Slides YouTube MediaServices		Quiz 7: Oct 9 – Oct 11
14	October 7	RNNs II	Slides YouTube MediaServices
-	October 12	No Class - Fall Break			No Quiz
-	October 14	No Class - Fall Break			No Quiz
15	October 19	Sequence to Sequence Models Connectionist Temporal Classification (CTC)			Quiz 8: Oct 23 – Oct 25
16	October 21	Connectionist Temporal Classification Blanks Beam Search
17	October 26	Language Models Translation			Quiz 9: Oct 30 – Nov 1
18	October 28	Attention Models Transformers
19	November 2	Transformers and Newer Architectures			Quiz 10: Nov 6 – Nov 8
20	November 4	Large Language Models
21	November 9	Representation and Autoencoders			Quiz 11: Nov 13 – Nov 15
22	November 11	Variational Auto Encoders
23	November 16	Normalizing Flows and Diffusion			Quiz 12: Nov 20 – Nov 22
24	November 18	Generative Adversarial Networks
25	November 23	Graph Neural Networks			Quiz 13: Nov 27 – Nov 29
26	November 25	Hopfield Networks
27	November 30	Boltzmann Machines			Quiz 14: Dec 4 – Dec 6
28	December 2	Homework 1-4 Debrief and Deployment