Abstract: The backpropagation algorithm is perhaps the most basic component of a neural network. Softmax regression, also known as the multinomial logistic regression, is a technique used to perform ...

Conducted multiclass classification on both datasets using Naive Bayes and Softmax Regression. Compared and reported the performance of Naive Bayes and Softmax Regression on both datasets. Highlighted ...

Abstract: In the current SoftMax regression algorithm model, a linear combination of features is used, and the resulting separated hyperplane belongs to a linear model. Aiming at the nonlinear ...

This deep dive covers the full mathematical derivation of softmax gradients for multi-class classification. #Backpropagation #Softmax #NeuralNetworkMath Op Sindoor: How world leaders reacted to ...

Our results show that \ours brings consistent improvements over the state of the art, including ST and Straight-Through Gumbel-Softmax. Bridging Discrete and Backpropagation: Straight-Through and ...