k_dropout
Sets entries in x to zero at random, while scaling the entire tensor.
Description
Sets entries in x to zero at random, while scaling the entire tensor.
Usage
k_dropout(x, level, noise_shape = NULL, seed = NULL) Arguments
| Arguments | Description |
|---|---|
| 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 x |
| seed | random seed to ensure determinism. |
Section
Keras Backend
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.
Value
A tensor.