Hi everybody,
I am trying to approximate a function that consist of multiple overlapping
Gaussian kernels. The calculation should be done in the scan function that
iterates over the Gaussian kernels. At this point I got stuck with two
problems.
1. I have tried to calculate the sum of all
So the scan checkpointing seems very ineteresting from the prespective that
it can be used for things like learning-to-learn.
However, my question is can we tell Theano which part of each N-th
iteration it to store and which not? For instance in the learning-to-learn
framework where we unroll