No_Cryptographer9806
No_Cryptographer9806 t1_j5ufip4 wrote
Reply to [D] Self-Supervised Contrastive Approaches that don’t use large batch size. by shingekichan1996
FastSiam: SimSiam that fit on one GPU small batch size (down to 32 smth) https://dl.acm.org/doi/abs/10.1007/978-3-031-16788-1_4
No_Cryptographer9806 t1_j3q38ya wrote
You might want to check what storage you have on your VM. Slow storage could be a bottleneck. I would suggest to get a high speed SSD.
You should use nvidia-smi or nvtop to monitor GPU usage
No_Cryptographer9806 t1_j363il1 wrote
Reply to Image matching within database? [P] by Clarkmilo
You should check out https://github.com/jina-ai/jina and https://github.com/jina-ai/finetuner
But what you need is a feature extractor ( a pretrained neural network) and perform nearest neighbors do get the closest vectors
No_Cryptographer9806 t1_j6nfqhq wrote
Reply to Best practice for capping a softmax by neuralbeans
I am curious why do you want to do that? You can always post process the logits but forcing the Network to learn it will cause harm to the underlying representation imo