Research attention is focused on the double descent phenomenon, which deviates from traditional bias-variance trade-off theory.
This study explores the relationship between shape/texture bias in the learning process of CNNs and epoch-wise double descent.
Quantitative evaluations reveal a correlation between test errors and bias values during the learning process.
The experimental results contribute to understanding the mechanisms behind the double descent phenomenon and the learning process of CNNs in image recognition.