| library_name: tf-keras | |
| tags: | |
| - 3D-image-classification | |
| ## Model description | |
| This model is a 3D convolutional neural network model trained to predict the presence of viral pneumonia in computer tomography scans. | |
| [Spaces link](https://huggingface.co/spaces/keras-io/3D_CNN_Pneumonia) | |
| [Keras Example Link](https://keras.io/examples/vision/3D_image_classification/) | |
| ## Training and evaluation data | |
| Subset of the [MosMedData: Chest CT Scans with COVID-19 Related Findings](https://www.medrxiv.org/content/10.1101/2020.05.20.20100362v1) | |
| ## 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 | |
| <details> | |
| <summary>View Model Plot</summary> | |
|  | |
| </details> |