Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...
Artificial neural networks (ANN) are computational systems that “learn” to perform tasks by considering examples, generally without being programmed with any task-specific rules.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT ...