Computes alpha dropout.
tf.contrib.nn.alpha_dropout( x, keep_prob, noise_shape=None, seed=None, name=None )
Alpha Dropout is a dropout that maintains the self-normalizing property. For an input with zero mean and unit standard deviation, the output of Alpha Dropout maintains the original mean and standard deviation of the input.
x: A tensor.
keep_prob: A scalar
Tensorwith the same type as x. The probability that each element is kept.
noise_shape: A 1-D
int32, representing the shape for randomly generated keep/drop flags.
seed: A Python integer. Used to create random seeds. See
name: A name for this operation (optional).
A Tensor of the same shape of
keep_probis not in