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---
library_name: keras
tags:
- object-detection
---
## Model description
This model has couple of Dense layers.
## Intended uses & limitations
It's intended to demonstrate capabilities of Hub for Keras on my blog post!
## Training and evaluation data
It's trained on dummy data.
Above information is filled manually.
## 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 | Validation Loss |
|--- |--- |--- |
| 1| 0.102| 0.094|
| 2| 0.094| 0.092|
| 3| 0.092| 0.091|
| 4| 0.091| 0.09|
| 5| 0.09| 0.089|
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> |