The Double Descent Behavior in Two Layer Neural Network for Binary Classification

Recent studies observed a surprising concept on model test error called the double descent phenomenon where the increasing model complexity decreases the test error first and then the error increases and decreases again. To observe this, we work on a two-layer neural network model with a ReLU activa...

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Bibliographic Details
Published inJournal of Data Science Vol. 23; no. 2; pp. 370 - 388
Main Authors Abeykoon, Chathurika S., Beknazaryan, Aleksandr, Sang, Hailin
Format Journal Article
LanguageEnglish
Published 中華資料採礦協會 01.04.2025
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