metadata
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
View Model Plot
