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why normalize with sqrt of inverse of feature numbers? #22

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hanfu opened this issue Jan 17, 2020 · 0 comments

hanfu commented Jan 17, 2020 •

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initiated embeddings are normalized to (0, stdv). why take sqrt of inverse of feature numbers as std in

DeepGBM/models/deepfm.py

Line 77 in 8a38af4

stdv = math.sqrt(1.0 /len(self.feature_sizes))

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hanfu changed the title ~~why normalize with sqrt of feature numbers?~~ why normalize with sqrt of inverse of feature numbers?

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