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Sponsored by
APIMart
keras-io / SimSiam
Model's Last Updated: July 05 2024
image-classification
Introduction of SimSiam
Model Details of SimSiam
Model description
This repo contains the trained model Self-supervised contrastive learning with SimSiam on CIFAR-10 Dataset. Keras link: https://keras.io/examples/vision/simsiam/
Full credits to https://twitter.com/RisingSayak
Intended uses & limitations
The trained model can be used as a learned representation for downstream tasks like image classification.
Training and evaluation data
The dataset we are using here is called CIFAR-100. The CIFAR-10 dataset consists of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
Two particular augmentation transforms that seem to matter the most are:
- Random resized crops
- Color distortions
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
| name | learning_rate | decay | momentum | nesterov | training_precision |
|---|---|---|---|---|---|
| SGD | {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 0.03, 'decay_steps': 3900, 'alpha': 0.0, 'name': None}} | 0.0 | 0.8999999761581421 | False | float32 |
Model Plot
View Model Plot
Runs of keras-io SimSiam on huggingface.co
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More Information About SimSiam huggingface.co Model
Url of SimSiam
SimSiam huggingface.co Url
Provider of SimSiam huggingface.co
Other API from keras-io
Updated:July 05 2024
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