Tweeted By @rasbt

Interesting work on making the stride parameter of convolutional layers learnable. No, it doesn't require discrete optimization as in conventional NAS but is based on gradient descent. Code curently only for TF, but should be portable to PyTorch. https://t.co/QtRrY4KpSZ pic.twitter.com/5wFOtTPpn9

— Sebastian Raschka (@rasbt) April 27, 2022