SimCLR with PyTorch Lightning- intro
If you are just getting into deep learning research, or want to deepen your knowledge on self-supervised learning latest practices, tune in to this series: https://www.youtube.com/watch?v=pDJx8i3jenA&list=PLaMu-SDt_RB4k8VXiB3hOdsn0Y3GoXo1k
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. In the next videos, we will go over key ideas of the paper, and how they are implemented with PyTorch Lightning.
Next up: Training without fine-tuning- https://www.youtube.com/watch?v=uX1TT10NpBI&list=PLaMu-SDt_RB4k8VXiB3hOdsn0Y3GoXo1k&index=3&t=0s
PyTorch Lightning implementation: https://github.com/PyTorchLightning/pytorch-lightning-bolts/tree/master/pl_bolts/models/self_supervised/simclr
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