readme: ---
  library_name: 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>