理解keras中的CNN卷积层padding参数设置为因果（causal）模式

This is a great concise explanation about what is “causal” padding:

This allows users to set padding mode to causal. Padding adds zero values at the beginning of inputs, ensuring accurate predictions for initial time steps within each sequence.

Dilation essentially refers to bypassing certain nodes. Unlike unadulterated strides that clearly indicate where to apply the kernel sequentially, dilation provides instructions on how to expand the reach of your convolutional kernel. From this pe