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Artificial Intelligence
Kaiming He Initialization in Neural Networks — Math Proof Math Proof: Kaiming He Initialization III. Weight Distribution Conclusion
Deriving optimal initial variance of weight matrices in neural network layers with ReLU activation functionInitialization techniques are one in every of the prerequisites for successfully training a deep learning architecture. Traditionally, weight initialization methods...
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