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@ -26,9 +26,8 @@ import logging
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class LearnedGradient(Optimizer):
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"""
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Implements 'Learned Gradient' update. It's a learned positive definite learning-rate
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matrix for each dimension of each tensor, that we multiply the derivative by, and
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then scale the delta/param-change before the update.
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Implements 'Learned Gradient' update. It's special factorization of the
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parameter matrix..
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Args:
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