def init_regularization(self):
l1 = 0
l2 = 0
for w in self.weights:
l1 += T.sum(abs(w))
l2 += T.sum(w ** 2)
# l2 = T.sqrt(l2)
return l1, l2
def init_regularization(self):
l1 = 0
l2 = 0
for layer in self.weighted_layers:
w = layer.w
l1 += T.sum(abs(w))
l2 += T.sum(w**2)
# l2 = T.sqrt(l2)
return l1, l2
def init_regularization(self):
l1 = 0
l2 = 0
for layer in self.weighted_layers:
w = layer.w
l1 += T.sum(abs(w))
l2 += T.sum(w ** 2)
# l2 = T.sqrt(l2)
return l1, l2
