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Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter TheoryARXIV/Convolution Neural Network 2020. 3. 3. 14:29
https://arxiv.org/abs/2002.10674v1 Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory Batch Normalization (BatchNorm) is commonly used in Convolutional Neural Networks (CNNs) to improve training speed and stability. However, there is still limited consensus on why this technique is effective. This paper uses concepts from the ..