most citedMaking Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification

1 citations · 1 across the 1 of their papers we have counts for

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cs.LG2024★ 1 cited

Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification

Kanishka Tyagi, Chinmay Rane, Ketaki Vaidya +3

This study presents a comparative analysis of two objective functions, Mean Squared Error (MSE) and Softmax Cross-Entropy (SCE) for neural network classification tasks. While SCE c…

cs.LG2023

Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms

Kanishka Tyagi, Chinmay Rane, Michael Manry

We propose a multi-step training method for designing generalized linear classifiers. First, an initial multi-class linear classifier is found through regression. Then validation e…