Question

In CNNs when do we update the kernel parameters using back propagation? Suppose I have batch size of 50 and training data of 1000. Do I back propagate after each batch has been presented to network or after each data sample?

No correct solution

Licensed under: CC-BY-SA with attribution
Not affiliated with datascience.stackexchange
scroll top