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Neural networks explained: Forward and backward propagation simplified

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

Analysis of Gradient Descent With Varying Step Sizes Using Integral Quadratic Constraints

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 ...
IEEE

Evaluation of Tourist Satisfaction Based Light Gradient Boosting Machine Technique

Abstract: In recent years, tourist satisfaction has become a focus as the population has become a key factor in the economic development of those regions. A good understanding of what exactly needs to ...