| library_name: tf-keras | |
| license: mit | |
| ## Model description | |
| This model uses the [u-net](https://arxiv.org/abs/1505.04597) architecture to train boundary detection on patches from [sketched boundaries](https://www.kaggle.com/datasets/aurioldegbelo/slm-boundaries) collected during the SmartLandMaps project. | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| | Hyperparameters | Value | | |
| | :-- | :-- | | |
| | name | RMSprop | | |
| | weight_decay | None | | |
| | clipnorm | None | | |
| | global_clipnorm | None | | |
| | clipvalue | None | | |
| | use_ema | False | | |
| | ema_momentum | 0.99 | | |
| | ema_overwrite_frequency | 100 | | |
| | jit_compile | True | | |
| | is_legacy_optimizer | False | | |
| | learning_rate | 9.999999747378752e-05 | | |
| | rho | 0.9 | | |
| | momentum | 0.0 | | |
| | epsilon | 1e-07 | | |
| | centered | False | | |
| | training_precision | float32 | | |
| ## Model Plot | |
| <details> | |
| <summary>View Model Plot</summary> | |
|  | |
| </details> |