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DateDayTopicNote
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27 AugSSyllabus, IntroductionLinear Algebra Review (review if required)
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30 AugWImage Classification Problem, Data Structures, Fully Connected Neural NetworksLoss Functions (review if required)
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3 SepSConvolution, Activation Functions, Network Normalization
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6 SepWData Normalization, Network Initialization, Network Regularization
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10 SepSData Augmentation, Classification Architectures
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13 SepWTraining Neural Networks
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17 SepSAttention
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20 SepWObject Detection Segmentation
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24 SepSNational Day
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27 SepWObject Detection Segmentation continued
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1 OctSObject Detection Segmentation continued
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4 OctWDiffusionhttps://cvpr2023-tutorial-diffusion-models.github.io/
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8 OctSTransformer Examples in Computer Vision
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11 OctWDiffusion, continued
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15 OctSNo university classes
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18 OctWVisualization
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22 OctSPoint Clouds
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25 OctWOptimization
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29 OctSRecurrent Neural Networks
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1 NovWVideos
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5 NovSGANs
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8 NovWBackpropagation
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12 NovSSelf-Supervised Learninghttps://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/schedule.html
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15 NovW3D Vision
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19 NovSCareer Advice, Information Theory Review
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22 NovWQuiz, MobileNet
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26 NovSNeural Architecture Search, Texture Synthesis and Style Transfer
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29 NovWTBD
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3 DecSTBD
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6 DecWQuiz
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