tf.zeros

TensorFlow 1 version

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Creates a tensor with all elements set to zero.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.zeros

tf.zeros(
    shape, dtype=tf.dtypes.float32, name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to modules, layers, and models Making new Layers and Models via subclassing The Functional API Better performance with the tf.data API Training checkpoints	Custom layers Neural machine translation with attention Simple audio recognition: Recognizing keywords Integrated gradients Image captioning with visual attention

This operation returns a tensor of type dtype with shape shape and all elements set to zero.

tf.zeros([3, 4], tf.int32)
<tf.Tensor: shape=(3, 4), dtype=int32, numpy=
array([[0, 0, 0, 0],
       [0, 0, 0, 0],
       [0, 0, 0, 0]], dtype=int32)>

Args
`shape`	A `list` of integers, a `tuple` of integers, or a 1-D `Tensor` of type `int32`.
`dtype`	The DType of an element in the resulting `Tensor`.
`name`	Optional string. A name for the operation.

Returns
A `Tensor` with all elements set to zero.

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tf / zeros

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Used in the notebooks

Args

Returns