When the net has visited each pattern, it sets the value of a weight object to this sum.
当网络访问过每一个图案后,它将一个权重对象的值设置为这个和。
When humans (and rodents) lose 10% or more of their body weight, leptin falls rapidly and sets off a cascade of physiological changes that act to put weight back on.
当人或啮齿类动物体重下降10%或更多时,瘦素的水平就会急剧下降,引发一连串的生理变化,促使体重回升。
My simple implementation's Degrade Weights traverses the weight array and randomly sets weights to zero.
我的简单实现的退化权重(Degrade Weights)会遍历权重数组并随机地将权重设置为 0。
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