`x`

to zero at random, while scaling the entire tensor.`R/backend.R`

`k_dropout.Rd`

Sets entries in `x`

to zero at random, while scaling the entire tensor.

k_dropout(x, level, noise_shape = NULL, seed = NULL)

x | tensor |
---|---|

level | fraction of the entries in the tensor that will be set to 0. |

noise_shape | shape for randomly generated keep/drop flags, must be
broadcastable to the shape of |

seed | random seed to ensure determinism. |

A tensor.

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://keras.rstudio.com/articles/backend.html#backend-functions.