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tf.keras.backend.zeros_like

TensorFlow 2.0 version View source on GitHub

Instantiates an all-zeros variable of the same shape as another tensor.

Aliases:

  • tf.compat.v1.keras.backend.zeros_like
  • tf.compat.v2.keras.backend.zeros_like
tf.keras.backend.zeros_like(
    x,
    dtype=None,
    name=None
)

Arguments:

  • x: Keras variable or Keras tensor.
  • dtype: String, dtype of returned Keras variable. None uses the dtype of x.
  • name: String, name for the variable to create.

Returns:

A Keras variable with the shape of x filled with zeros.

Example:

    >>> from keras import backend as K
    >>> kvar = K.variable(np.random.random((2,3)))
    >>> kvar_zeros = K.zeros_like(kvar)
    >>> K.eval(kvar_zeros)
    array([[ 0.,  0.,  0.],
           [ 0.,  0.,  0.]], dtype=float32)