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 `Tensor` of type `int32` , 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` . |

Raises | |
---|---|

`ValueError` | If `rate` is not in `[0, 1)` or if `x` is not a floating point tensor. |

© 2020 The TensorFlow Authors. All rights reserved.

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/compat/v1/nn/dropout