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Practical courses @ TUM SS25
Advanced Topics in 3D Computer Vision (IN2106, IN4023)
Expert-Level Deep Learning for Computer Vision and Biomedicine
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Latent Intrinsics Emerge from Training to Relight
Machine Learning @ TUM
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Autoencoders
Nonlinearity of deep learning
Numerical stability of softmax
Optimising Likelihoods - Monotonic Transforms
Principal Component Analysis (PCA)
Properties of MLE and MAP
t-SNE
Machine Learning for 3D geometry @ TUM
Final report - Enhanced monocular 3D Object Reconstruction
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LuxDiT - Lighting Estimation with Video Diffusion Transformer
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Machine Learning @ TUM
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Folder: Projects/Machine-Learning-@-TUM/Assignments
7 items under this folder.
Apr 02, 2026
Autoencoders
Apr 02, 2026
Nonlinearity of deep learning
Apr 02, 2026
Numerical stability of softmax
Apr 02, 2026
Optimising Likelihoods - Monotonic Transforms
Apr 02, 2026
Principal Component Analysis (PCA)
Apr 02, 2026
Properties of MLE and MAP
Apr 02, 2026
t-SNE