readme: ---
  library_name: keras
  tags:
  - computer-vision
  - classification
  - 'multiple-instance-learning '
  ---
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
   ## Training Metrics
  
  | Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
   |--- |--- |--- |--- |--- |
  | 1| 0.315|  0.915|  0.066|  0.983| 
  | 2| 0.089|  0.982|  0.049|  0.99| 
  | 3| 0.078|  0.987|  0.084|  0.983| 
  | 4| 0.059|  0.983|  0.033|  0.993| 
  | 5| 0.042|  0.99|  0.053|  0.99| 
  | 6| 0.042|  0.996|  0.019|  0.993| 
  | 7| 0.013|  0.999|  0.067|  0.987| 
  | 8| 0.055|  0.988|  0.049|  0.99| 
  | 9| 0.005|  1.0|  0.039|  0.993| 
  | 10| 0.005|  1.0|  0.038|  0.99| 
  | 11| 0.039|  0.995|  0.214|  0.97| 
  | 12| 0.008|  1.0|  0.039|  0.99| 
  | 13| 0.002|  1.0|  0.047|  0.993| 
  | 14| 0.016|  0.999|  0.057|  0.99| 
  | 15| 0.046|  0.993|  0.026|  0.997| 
  | 16| 0.002|  1.0|  0.06|  0.99| 
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>