
## 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| 1.206|  0.636|  2.55|  0.555| 
| 2| 0.957|  0.696|  2.671|  0.598| 
| 3| 0.847|  0.729|  1.431|  0.612| 
| 4| 0.774|  0.751|  1.008|  0.689| 
| 5| 0.712|  0.771|  1.016|  0.705| 
 ## Model Plot

<details>
<summary>View Model Plot</summary>

![Model Image](./model.png)

</details>
{"library_name": "keras", "tags": ["image-segmentation"]}
keras tensorboard image-segmentation region:us
TAGS
#keras #tensorboard #image-segmentation #region-us 

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
----------------



Model Plot
----------



View Model Plot
!Model Image



### 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
----------------



Model Plot
----------



View Model Plot
!Model Image
TAGS
#keras #tensorboard #image-segmentation #region-us 
 ### 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
----------------



Model Plot
----------



View Model Plot
!Model Image
passage: TAGS
#keras #tensorboard #image-segmentation #region-us 
### 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
----------------



Model Plot
----------



View Model Plot
!Model Image