A classification model trained with Supervised Contrastive Learning (Prannay Khosla et al.). The training procedure was done as seen in the example on keras.io 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).
- Downloads last month
- 8
Inference API (serverless) does not yet support tf-keras models for this pipeline type.