In Deep Learning, Batch Normalization (BatchNorm) and Dropout, as Regularizers, are two powerful techniques used to optimize model performance, prevent overfitting, and speed up convergence. While ...
Batch Normalization and Dropout: A Combined Regularization Approach
April 28, 2025
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