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Pytorch parameter initialization
2022-07-07 07:43:00 【Melody2050】
feasible initializer Yes kaiming_normal、xavier_normal.
Reference blog weight-initialization-in-neural-networks-a-journey-from-the-basics-to-kaiming
Gradient explosion and gradient disappearance
Back propagation
Chain according to gradient Back propagation , When the deep gradient is going to spread to the shallow , Will be multiplied by the gradient of this layer . We refer to Deep feedforward network and Xavier Initialization principle Give examples . Suppose there is a linear connection layer followed by an activation layer , Here's the picture :
- Linear connection layer f2 The input is x, Output is z. namely z = f 2
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