Sets entries in x to zero at random, while scaling the entire tensor.
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.
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