tf.keras.backend.concatenate

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Concatenates a list of tensors alongside the specified axis.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.concatenate

tf.keras.backend.concatenate(
    tensors, axis=-1
)

Arguments
tensors	list of tensors to concatenate.
axis	concatenation axis.

Returns
A tensor.

Example:

a = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
b = tf.constant([[10, 20, 30], [40, 50, 60], [70, 80, 90]])
tf.keras.backend.concatenate((a, b), axis=-1)
<tf.Tensor: shape=(3, 6), dtype=int32, numpy=
array([[ 1,  2,  3, 10, 20, 30],
       [ 4,  5,  6, 40, 50, 60],
       [ 7,  8,  9, 70, 80, 90]], dtype=int32)>