tf.keras.backend.zeros

Instantiates an all-zeros variable and returns it.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.zeros

tf.keras.backend.zeros(
    shape, dtype=None, name=None
)

Arguments
shape	Tuple or list of integers, shape of returned Keras variable
dtype	data type of returned Keras variable
name	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:

kvar = tf.keras.backend.zeros((3,4))
tf.keras.backend.eval(kvar)
array([[0.,  0.,  0.,  0.],
       [0.,  0.,  0.,  0.],
       [0.,  0.,  0.,  0.]], dtype=float32)
A = tf.constant([1,2,3])
kvar2 = tf.keras.backend.zeros(A.shape) # [0., 0., 0.]
tf.keras.backend.eval(kvar2)
array([0., 0., 0.], dtype=float32)
kvar3 = tf.keras.backend.zeros(A.shape,dtype=tf.int32)
tf.keras.backend.eval(kvar3)
array([0, 0, 0], dtype=int32)
kvar4 = tf.keras.backend.zeros([2,3])
tf.keras.backend.eval(kvar4)
array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)