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Set `library_name` to `tf-keras`. (#1)
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---
datasets:
- cifar10
library_name: tf-keras
license: apache-2.0
tags:
- image-classification
---
A classification model trained with <a href='https://arxiv.org/abs/2004.11362' target='_blank'>**Supervised Contrastive Learning**</a> (Prannay Khosla et al.).
The training procedure was done as seen in the example on <a href='https://keras.io/examples/vision/supervised-contrastive-learning/' target='_blank'>**keras.io**</a> by Khalid Salama.
The model was **trained on cifar10**, which includes ten classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck.
The **test accuracy after 50 epochs** of the model with contrastive learning was **81.06%** (opposed to 79.88% without contrastive learning).