xto 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)
fraction of the entries in the tensor that will be set to 0.
shape for randomly generated keep/drop flags, must be
broadcastable to the shape of
random seed to ensure determinism.
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.