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
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.
| ||A floating point tensor.|
| || (deprecated) A deprecated alias for |
| || A 1-D |
| || A Python integer. Used to create random seeds. See |
| ||A name for this operation (optional).|
| || A scalar |
| A Tensor of the same shape of |
| || If |
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