Let’s see an example with a simple architecture.
... -- conv1 -- conv2 -- ...

If the weights of the conv2 layer can be learned then it is possible to learn the weights of the conv1.
Now, let’s see another example with a similar architecture except adding tile function.
... -- conv1 -- tile -- conv2 -- ...

In this case, is it feasible to apply backpropagation algorithm to conv1 layer?
Thank you.