Computes dropout. (deprecated arguments)
tf.compat.v1.nn.dropout(
x, keep_prob=None, noise_shape=None, seed=None, name=None, rate=None
)
For each element of x
, with probability rate
, outputs 0
, and otherwise
scales up the input by 1 / (1-rate)
. The scaling is such that the expected
sum is unchanged.
By default, each element is kept or dropped independently. If noise_shape
is specified, it must be
broadcastable
to the shape of x
, and only dimensions with noise_shape[i] == shape(x)[i]
will make independent decisions. For example, if shape(x) = [k, l, m, n]
and noise_shape = [k, 1, 1, n]
, each batch and channel component will be
kept independently and each row and column will be kept or not kept together.
Args | |
---|---|
x
|
A floating point tensor. |
keep_prob
|
(deprecated) A deprecated alias for (1-rate) .
|
noise_shape
|
A 1-D integer Tensor , representing the
shape for randomly generated keep/drop flags.
|
seed
|
A Python integer. Used to create random seeds. See
tf.random.set_seed for behavior.
|
name
|
A name for this operation (optional). |
rate
|
A scalar Tensor with the same type as x . The probability that each
element of x is discarded.
|
Returns | |
---|---|
A Tensor of the same shape of x .
|