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).
{"license": "apache-2.0", "library_name": "keras", "tags": ["image-classification"], "datasets": ["cifar10"]}
keras image-classification dataset:cifar10 arxiv:2004.11362 license:apache-2.0 has_space region:us
TAGS
#keras #image-classification #dataset-cifar10 #arxiv-2004.11362 #license-apache-2.0 #has_space #region-us 

A classification model trained with <a href='URL target='_blank'>Supervised Contrastive Learning</a> (Prannay Khosla et al.).
The training procedure was done as seen in the example on <a href='URL target='_blank'>URL</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).
TAGS
#keras #image-classification #dataset-cifar10 #arxiv-2004.11362 #license-apache-2.0 #has_space #region-us 

passage: TAGS
#keras #image-classification #dataset-cifar10 #arxiv-2004.11362 #license-apache-2.0 #has_space #region-us 
