Oct 25, 2023 · I am trying to implement a SimCLR/Resnet18 model with a custom dataset. My training dataset used for pretext tasks is composed of 7000 with various unlabeled types of pictures, all …

Oct 20, 2023 · I'm implementing a SimCLR/ResNet18 architecture over a custom dataset. I know that Number of Iterations in One Epoch=Batch Size/Total Training Dataset Size And if the result is …

Oct 8, 2022 · Implementation of SIMCLR -keras-tensorflow Asked 3 years, 4 months ago Modified 3 years, 4 months ago Viewed 371 times

Jul 21, 2022 · How to obtain the ResNet component of the Tensorflow implementation of SimCLR v2? Asked 3 years, 6 months ago Modified 3 years, 6 months ago Viewed 160 times

Dec 11, 2020 · The Pytorch Lightning bolts module provides already pre-trained self-supervised models, such as SimCLR. According to the bolts module documentation, it should be possible to finetune …

Nov 21, 2020 · So I'm trying to train a SimCLR network with a custom lightweight ConvNet backbone (tried it with a ResNet already) on a dataset containing first 5 letters of the alphabet out of which two …

Sep 10, 2020 · I would like to applicate the function bellow, which is a responsible to augment each image and transform it : def color_distortion(image, s=1.0): # image is a tensor with value range in [0, …

Mar 29, 2022 · This should be a simple task: Download a model saved in tensorflow_hub format, load using tensorflow_hub, and use.. This is the model I am trying to use (simCLR stored in Google …

Jun 29, 2021 · SimCLR, augmentation generates one images instead of two Asked 3 years, 7 months ago Modified 3 years, 7 months ago Viewed 45 times

Mar 16, 2023 · First, you need to check if you have any versions of CUDA installed. Go to your environment variables and check if you have any other versions installed. If you have more than one …