Functional interface to the `Add` layer. Arguments: inputs: A list of input tensors (at least 2). **kwargs: Standard layer keyword arguments. Returns: A tensor, the sum of the inputs. Examples: ```python import keras input1 = keras.layers.Input(shape=(16,))
(inputs, **kwargs)
| 560 | |
| 561 | @keras_export('keras.layers.add') |
| 562 | def add(inputs, **kwargs): |
| 563 | """Functional interface to the `Add` layer. |
| 564 | |
| 565 | Arguments: |
| 566 | inputs: A list of input tensors (at least 2). |
| 567 | **kwargs: Standard layer keyword arguments. |
| 568 | |
| 569 | Returns: |
| 570 | A tensor, the sum of the inputs. |
| 571 | |
| 572 | Examples: |
| 573 | |
| 574 | ```python |
| 575 | import keras |
| 576 | |
| 577 | input1 = keras.layers.Input(shape=(16,)) |
| 578 | x1 = keras.layers.Dense(8, activation='relu')(input1) |
| 579 | input2 = keras.layers.Input(shape=(32,)) |
| 580 | x2 = keras.layers.Dense(8, activation='relu')(input2) |
| 581 | added = keras.layers.add([x1, x2]) |
| 582 | |
| 583 | out = keras.layers.Dense(4)(added) |
| 584 | model = keras.models.Model(inputs=[input1, input2], outputs=out) |
| 585 | ``` |
| 586 | """ |
| 587 | return Add(**kwargs)(inputs) |
| 588 | |
| 589 | |
| 590 | @keras_export('keras.layers.subtract') |