This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: The framework of integral quadratic constraints is used to perform an analysis of gradient descent with varying step sizes. Two performance metrics are considered: convergence rate and noise ...
This is a new engine for Descent 3, from the initial 1.5 source code release. It incorporates almost every change from InjectD3, among many more. At the moment, this includes the following features: ...
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Linear regression gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
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Logistic regression power explained using one derivative
Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates ...
Abstract: Reconstructing high-quality images with few measurements has always been a primary goal for single-pixel imaging (SPI). Diffusion models have shown outstanding performance in image ...
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