tf.zeros

Creates a tensor with all elements set to zero.

tf.zeros_like(
    input, dtype=None, name=None
)

Used in the notebooks

Used in the tutorials
CycleGAN Deep Convolutional Generative Adversarial Network DeepDream Pix2Pix Integrated gradients

Examples:

tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>

tf.zeros_like(tensor, dtype=tf.float32)
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)>

tf.zeros_like([[1, 2, 3], [4, 5, 6]])
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>

Args
`input`	A `Tensor` or array-like object.
`dtype`	A type for the returned `Tensor`. Must be `float16`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128`, `bool` or `string` (optional).
`name`	A name for the operation (optional).

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

TensorFlow

tf / zeros_like

Used in the notebooks

Examples:

Args

Returns

TensorFlow

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tf / zeros_like

Used in the notebooks

Examples:

Args

Returns