Method gradient_regularize

lib/updates.py:35–38 · view source on GitHub ↗

(self, p, g)

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33	return (p/T.sqrt(T.sum(T.sqr(p))))*T.sqrt(nrows)
34
35	def gradient_regularize(self, p, g):
36	g += p * self.l2
37	g += T.sgn(p) * self.l1
38	return g
39
40	def weight_regularize(self, p):
41	p = self.max_norm(p, self.maxnorm)

__call__Method · 0.80

no outgoing calls

no test coverage detected