Batch Normalization is a technique used in deep neural networks to improve training speed, stability, and convergence. Its primary purpose is to address the issue of internal covariate shift, which refers to the **change in the distribution...
Batch Normalization is a technique used in deep neural networks to improve training speed, stability, and convergence. Its primary purpose is to address the issue of internal covariate shift, which refers to the **change in the distribution...
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