aderylo: field-report

          • Advanced Topics in 3D Computer Vision (IN2106, IN4023)
          • Expert-Level Deep Learning for Computer Vision and Biomedicine
          • Practical Course - Deep Learning for Spatial AI
          • Practical Course - Machine Learning in Medical Imaging (IN2106, IN4142)
          • Practical Course - Vision-based Navigation IN2106 (6h SWS - 10 ECTS)
          • Latent Intrinsics Emerge from Training to Relight
            • Autoencoders
            • Nonlinearity of deep learning
            • Numerical stability of softmax
            • Optimising Likelihoods - Monotonic Transforms
            • Principal Component Analysis (PCA)
            • Properties of MLE and MAP
            • t-SNE
          • Final report - Enhanced monocular 3D Object Reconstruction
          • Custom layout based on file properties
          • Custom styling
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    Machine Learning @ TUM

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    Assignments

    Folder: Projects/Machine-Learning-@-TUM/Assignments

    7 items under this folder.

    • Jun 02, 2025

      t-SNE

      • Jun 02, 2025

        Properties of MLE and MAP

        • Jun 02, 2025

          Principal Component Analysis (PCA)

          • Jun 02, 2025

            Optimising Likelihoods - Monotonic Transforms

            • Jun 02, 2025

              Numerical stability of softmax

              • Jun 02, 2025

                Nonlinearity of deep learning

                • Jun 02, 2025

                  Autoencoders


                  Adam Deryło © 2025

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