function
se_layer
PythonSqueeze & excite functional layer
se_layer( ratio: int = 8, name: str | None = None, squeeze_activation: str | Callable = 'relu6', excite_activation: str | Callable = 'hard_sigmoid',) -> keras.LayerSqueeze & excite functional layer
Implements Squeeze and Excite block as in Squeeze-and-Excitation Networks.
Parameters
| Name | Type | Default | Description |
|---|---|---|---|
ratio | Expansion ratio | 8 | Expansion ratio. Defaults to 8. |
name | str | None | None | Block name. Defaults to None. |
squeeze_activation | str | Callable | 'relu6' | Squeeze activation. Defaults to "relu6". |
excite_activation | str | Callable | 'hard_sigmoid' | Excite activation. Defaults to "hard_sigmoid". |
Returns
| Type | Description |
|---|---|
keras.Layer | keras.Layer: Functional SE layer |