Hello,
I’m trying to grasp Conv1d. Now assume I have a data loader with a batch size N. If I create a sequential CNN, does the input layer and first CNN layer of that CNN depend on N?
Hello,
I’m trying to grasp Conv1d. Now assume I have a data loader with a batch size N. If I create a sequential CNN, does the input layer and first CNN layer of that CNN depend on N?
AFAIK, conv layers don’t depend on N
.
However, the batch norm would need a constraint that N != 1
during training.
Other than this, the training behavior might be different with different N
s, as the gradient will be more or less noisy depending on N.
Okay, thanks.
Edit: I’ll make a new thread with a follow up question. Thanks.