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tf.keras.backend.zeros

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Instantiates an all-zeros variable and returns it.

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)

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/zeros