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Notes on Weight Initialization for Deep Neural Networks

Neural networks involve long sequence of multiplications, usually between a matrix and a vector, say \(a*x\). The result of this sequence of multiplications will either have a huge magnitude or be reduced to 0. We can divide \(a\) by a number ( scaling_factor ) to scale down its magnitude to the right level. Proper…
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AI & Machine LearningMath & Algorithms2019

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May 20, 2019Notes on Weight Initialization for Deep Neural Networks by axiom9211718

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