Calendar

Jan 7

Lec 1 Course Introduction: Recording

Project 0 out

Jan 12

Lec 2 Image Classification: Recording

: 📖 GBC Ch. 1

: 📖 231n Image Classification

Jan 13

Dis 0 Intro to Python and Pytorch

Jan 14

Lec 3 Linear Classifiers: Recording

Project 1 out: 📖 231n Linear Classification

Jan 18

Project 0 due

Jan 19

MLK Day-No Class

Jan 20

Dis 1 PROPS Dataset

: 📖 Chen et al., ProgressLabeller

Jan 21

Lec 4 Regularization + Optimization: Recording

: 📖 231n Optimization

: 📖 GBC Sec 8.1-8.6

: 📖 Li et al., Visualizing Loss Landscaps

: 📖 Goh, Why Momentum Really Works

Jan 26

Lec 5 Neural Networks I: Recording

: 📖 231n Neural Networks

: 📖 GBC Sec 6.1-6.4

Jan 27

Dis 2 Neural Networks II

: 📖 Nielsen, Universal Approximation

Jan 28

Lec 6 Backpropagation: Recording

: 📖 cs231n Backpropagation

: 📖 GBC Sec 6.5-6.6

: 📖 Olah, Backpropagation

Project 1 due Project 2 out

Feb 2

Lec 7 Convolutional Neural Networks: Recording

: 📖 cs231n ConvNets

: 📖 GBC Ch. 9

: 📖 Araujo et al., Receptive Fields of CNNs

: 📖 Olah et al., Feature Visualization

Feb 3

Dis 3 Vis Studio NERF Demo

Feb 4

Lec 8 CNN Architectures: Recording

: 📖 Krizhevsky et al., AlexNet

: 📖 Simonyan and Zisserman, VGG

: 📖 Szegedy et al., GoogLeNet

: 📖 He et al., ResNet

Feb 9

Lec 9 Training Neural Networks I: Recording

: 📖 cs231n Training I

: 📖 Olah et al., Equivariance in Networks

Feb 10

Dis 4 Singular Value Decomposition

: 📖 CMU CSTheory: SVD

Feb 11

Lec 10 Training Neural Networks II: Recording

: 📖 cs231n Training II

: 📖 Goodfellow et al., Adversarial Examples

Feb 15

Project 2 due Project 3 out

Feb 16

Lec 11 Object Detection I: Recording

: 📖 Girshick et al., R-CNN

: 📖 Redmon et al., YOLO

: 📖 Lin et al., FCOS

Feb 17

Dis 5 Math & PyTorch Practice

: 📖 cs231n Training II

Feb 18

Lec 12 Object Detection II: Recording

: 📖 Redmon, Darknet

: 📖 Jia et al., Caffe

: 📖 Abadi et al., TensorFlow

: 📖 Paszke et al., PyTorch

Feb 23

Lec 13 Pose Estimation: Recording

: 📖 Xiang et al., PoseCNN

: 📖 Mildenhall et al., NeRF

Feb 24

Dis 6 Pose Estimation with Objectron: 📖 Objectron

Feb 25

Lec 14 Final Project Topics: Recording

Mar 2: Break
Mar 3: Break
Mar 4: Break
Mar 8: Project 3 due

Mar 9

Lec 15 Deep Learning Software: Recording

: 📖 Xiang, PoseCNN

: 📖 Wang, DenseFusion

Mar 10

Dis 7 Midterm Review: Recording

Mar 11

Lec 16 Midterm

Mar 15

Project 4 out

Mar 16

Lec 17 Sequences: Recording

: 📖 Andrej Karpathy, Recurrent Neural Networks

: 📖 Lena Voita, NLP Course For You

: 📖 Vaswani, Attention Is All You Need

Mar 17

Dis 8 Generative Models

Mar 18

Lec 18 Attention, Transformer: Recording

: 📖 Dosovitskiy, ViT

: 📖 Carion, DETR

: 📖 Xie, SegFormer

Mar 23

Lec 19 Vision Transformers: Recording

: 📖 Devlin, BERT

: 📖 Radford, CLIP

: 📖 Kerr, LERF

Mar 24

Dis 9 P4 Help

Mar 25

Lec 20 More Transformers: Recording

Mar 29

Project 4 due

Mar 30

Lec 21 3D Vision: Recording

: 📖 Qi et al., PointNet

Mar 31

Dis 10 Discussion

Apr 1

Lec 22 NeRF & 3D Gaussian Splatting: Recording

: 📖 Mildenhall et al., NeRF

: 📖 Kerbl et al., 3DGS

Apr 7

Lec 23 Visualizing Models: Recording

Apr 8

Dis 11 Final Project Help

Apr 9

Lec 24 Multi-Sensor Fusion: Recording

Apr 14

Lec 25 Invited Speaker: Recording

Apr 15

Dis 12 MemryX AI chip demo: Recording

Apr 16

Lec 26 Invited Speaker: Recording

Apr 21

Lec 27 Invited Speaker: Recording

Apr 22

Dis 13 TBD

Apr 23

Lec 28 No Class

Apr 27: Final Project Showcase; Final Project Due

Calendar

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Week 2

Week 3

Week 4

Week 5

Week 6

Week 7

Week 8

Week 9 (Spring Break)

Week 10

Week 11

Week 12

Week 13

Week 14

Week 15

Week 16

Week 17