Convolutional layers remain important for computer vision problems even after the transformer revolution, so they are important to have:
For these, we need to address pymc-devs/pytensor#548
In addition, convolutional network designs typically include some kind of pooling layers:
As well as helpers for padding images to the correct size:
A pt.pad function would be nice for implementing these; I opened an issue for that here pymc-devs/pytensor#743
Convolutional layers remain important for computer vision problems even after the transformer revolution, so they are important to have:
For these, we need to address pymc-devs/pytensor#548
In addition, convolutional network designs typically include some kind of pooling layers:
As well as helpers for padding images to the correct size:
A
pt.padfunction would be nice for implementing these; I opened an issue for that here pymc-devs/pytensor#743