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Sponsored by
APIMart
keras-io / 3D_CNN_Pneumonia
Model's Last Updated: July 05 2024
Introduction of 3D_CNN_Pneumonia
Model Details of 3D_CNN_Pneumonia
Model description
This model is a 3D convolutional neural network model trained to predict the presence of viral pneumonia in computer tomography scans.
Training and evaluation data
Subset of the MosMedData: Chest CT Scans with COVID-19 Related Findings
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 100000, 'decay_rate': 0.96, 'staircase': True, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Model Plot
View Model Plot
Runs of keras-io 3D_CNN_Pneumonia on huggingface.co
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More Information About 3D_CNN_Pneumonia huggingface.co Model
Url of 3D_CNN_Pneumonia
3D_CNN_Pneumonia huggingface.co Url
Provider of 3D_CNN_Pneumonia huggingface.co
Other API from keras-io
Updated:July 05 2024
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