SimCLR implementation- NT-Xnet Loss

This is video no. 6 in a series walking through simCLR research paper, going over the NT-Xnet loss implementation.

William Falcon, PyTorch Lightning founder, and Ananya Harsh Ja, Lightning research engineer, deep dive into simCLR (“A Simple Framework for Contrastive Learning of Visual Representations”), self-supervised representation learning on images. Start here for simCLR overview:
In the next videos, we will go over other key ideas of the paper, and how they are implemented with PyTorch Lightning.

Next: Global Batch Norm –

PyTorch Lightning implementation:

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