1. Data augmentation
	- Crop patches from images in batch
	- Add colour jitter
2. Within batch sample positive and negative
	- Patches from same image are positive
	- All other negative
3. MLP layer to compute loss instead of bottleneck embedding
	- Head network for function of bottleneck

![](../../../img/simclr.png)