tf.keras.backend.placeholder

Instantiates a placeholder tensor and returns it.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.placeholder, `tf.compat.v2.keras.backend.placeholder`

tf.keras.backend.placeholder(
    shape=None, ndim=None, dtype=None, sparse=False, name=None, ragged=False
)

Arguments
`shape`	Shape of the placeholder (integer tuple, may include `None` entries).
`ndim`	Number of axes of the tensor. At least one of {`shape`, `ndim`} must be specified. If both are specified, `shape` is used.
`dtype`	Placeholder type.
`sparse`	Boolean, whether the placeholder should have a sparse type.
`name`	Optional name string for the placeholder.
`ragged`	Boolean, whether the placeholder should have a ragged type. In this case, values of 'None' in the 'shape' argument represent ragged dimensions. For more information about RaggedTensors, see this guide.

Raises
`ValueError`	If called with eager execution
`ValueError`	If called with sparse = True and ragged = True.

Returns
Tensor instance (with Keras metadata included).

from keras import backend as K
input_ph = K.placeholder(shape=(2, 4, 5))
input_ph
<tf.Tensor 'Placeholder_4:0' shape=(2, 4, 5) dtype=float32>

Arguments