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Understanding & Implementing SimCLR - an ELI5 guide
I explain the SimCLR and its contrastive loss function step by step, build image embeddings and then show how to use them to train image classifier on top.
deep-learning computer-vision pytorch self-supervised-learning
Traffic-Sign-Recognition-Using-Deep-Learning
The training dataset contains around 39,000 images while test dataset contains around 12,000 images containing 43 different classes. We will be using ...
deep-learning computer-vision code dataset
Age_Gender_Race-Prediction
Using Fastai Library (Pytorch) and Resnet Architecure I implemnted a CNN Model to identify the stage of the Blindness based on the given image of Retina. ...
deep-learning keras flask library
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