A page? I sure hope not. The whole training and inference code for a U-Net architecture in APL is only about 30 lines, with inference direction only taking up 4

A page? I sure hope not. The whole training and inference code for a U-Net architecture in APL is only about 30 lines, with inference direction only taking up 4 or so lines. Assuming you know APL, the code is actually really straightforward and readable, too! Not to mention that it's only ~2.5x slower than a comparable PyTorch implementation. [0]:https://www.dyalog.com/uploads/conference/dyalog22/presentations/D08_Implementing_the_Convolutional_Neural_Network_UNet_in_APL.pdf https://www.dyalog.com/uploads/conference/dyalog22/presentat...