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> | |
![Model Image](./model.png) | |
</details> |