Trained on six PathMNIST tissues with a small KEEP adapter, it handled added labels without retraining, though a linear classifier hit 88% on familiar ones.
The post A Jev of All Trades: Build and Train a Jev-style Decision Model From Scratch appeared first on Towards Data Science.


