arrayfire-ml
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Convolution Functions
The following functions and modules need to be implemented:
- [ ] Basic Convolutions: No strides, No pooling
- [ ] Strided Convolutions without pooling
- [ ] Strided Convolutions with pooling
Merging Strided Convolutions with pooling could potentially allow call wrap and unwrap to be only called once instead of twice.
Hello, I see this thread has been silent for quite some time, however I have need of a way to implement max pooling with arrayfire, and I was interested to know how you planned to do it?