Dante Basile
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Dante Basile
### Background A loss function suitable for unsupervised learning would contribute to extending ProgLearn's training domain to unsupervised settings in which labeled data are not available. The unsupervised contrastive loss...
ndd
**Reference issue** #520 **Type of change** This contains the loss function and a basic ResNet50 demo demonstrating training and decreasing loss on CIFAR-10. **What does this implement/fix?** This demonstrates that...