SimCLR paper overview

This is video no. 3 in a series walking through simCLR research paper, going over the key ideas of simCLR:
* Composition of image transformation
* Nonlinear projection head
* Temperature and normalization
* Large batch sizes

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:
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-

PyTorch Lightning implementation:

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