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How Wide Does a Permutation-Invariant Bottleneck Need to Be?
Deriving the DeepSets universal approximation theorem via symmetric polynomials, and testing its prediction empirically
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Nonlinear Support Vector Machine (SVM) with Polynomial Kernel
Nonlinear support vector machine from scratch
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Singular Value Decomposition for Hyperspectral Image Dimensionality Reduction
Understanding SVD theory and applying it to hyperspectral imaging - A comprehensive guide
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Logistic Regression for Ultrasonic Flow Meter Health Classification
Binary classification of ultrasonic flow meter health using logistic regression and numerical optimization
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On the optimization algorithms and learning rate
Gradient descent (GD), Stochastic GD, Adam optimizer
