Gradient vanishing means the gradient of neural networks dur…
Gradient vanishing means the gradient of neural networks during training is too small or too large (unstable) ; therefore, neural networks cannot learn more effectively. Which one is not a method or model to mitigate the gradient vanishing problem in neural networks?