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tf.keras.backend.zeros

TensorFlow 2.0 version View source on GitHub

Instantiates an all-zeros variable and returns it.

Aliases:

  • tf.compat.v1.keras.backend.zeros
  • tf.compat.v2.keras.backend.zeros
tf.keras.backend.zeros(
    shape,
    dtype=None,
    name=None
)

Arguments:

  • shape: Tuple of integers, shape of returned Keras variable
  • dtype: String, data type of returned Keras variable
  • name: String, name of returned Keras variable

Returns:

A variable (including Keras metadata), filled with 0.0. Note that if shape was symbolic, we cannot return a variable, and will return a dynamically-shaped tensor instead.

Example:

    >>> from keras import backend as K
    >>> kvar = K.zeros((3,4))
    >>> K.eval(kvar)
    array([[ 0.,  0.,  0.,  0.],
           [ 0.,  0.,  0.,  0.],
           [ 0.,  0.,  0.,  0.]], dtype=float32)