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A comment on Exploring Weight Agnostic Neural Networks. Parent comment

Re:Exploring Weight Agnostic Neural Networks by reiinakano on Thursday August 29, 2019 @08:28AM (#20828857)
Neither. The architecture performs well independently of weights BUT all weights must be the same e.g. Same network works well when all weights are 5.0 or when all weights are -3.0
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Re:Exploring Weight Agnostic Neural Networks by TekMol on Friday August 30, 2019 @02:50AM (#20836429)
Hmm... that collides with what patresh said.
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Re:Exploring Weight Agnostic Neural Networks by reiinakano on Friday August 30, 2019 @03:36AM (#20836588)
No, it doesn't. Shared weight means all weights are the same value, as I originally mentioned.
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