tf.keras.layers.concatenate

Functional interface to the Concatenate layer.

View aliases

Compat aliases for migration

See Migration guide for more details.

`tf.compat.v1.keras.layers.concatenate`

tf.keras.layers.concatenate(
    inputs, axis=-1, **kwargs
)

x = np.arange(20).reshape(2, 2, 5)
print(x)
[[[ 0  1  2  3  4]
  [ 5  6  7  8  9]]
 [[10 11 12 13 14]
  [15 16 17 18 19]]]
y = np.arange(20, 30).reshape(2, 1, 5)
print(y)
[[[20 21 22 23 24]]
 [[25 26 27 28 29]]]
tf.keras.layers.concatenate([x, y],
                            axis=1)
<tf.Tensor: shape=(2, 3, 5), dtype=int64, numpy=
array([[[ 0,  1,  2,  3,  4],
      [ 5,  6,  7,  8,  9],
      [20, 21, 22, 23, 24]],
     [[10, 11, 12, 13, 14],
      [15, 16, 17, 18, 19],
      [25, 26, 27, 28, 29]]])>

Args
inputs	A list of input tensors.
axis	Concatenation axis.
**kwargs	Standard layer keyword arguments.

Returns
A tensor, the concatenation of the inputs alongside axis axis.