Convert an R vector, matrix, or array object to an array that has the optimal in-memory layout and floating point data type for the current Keras backend.
keras_array(x, dim = dim(x), dtype = NULL)Object or list of objects to convert
Integer vector with array dimensions (defaults to dimensions of
x)
NumPy data type (e.g. float32, float64). If this is unspecified then R doubles will be converted to the default floating point type for the current Keras backend.
NumPy array with the specified dimensions and type (or list of NumPy
arrays if a list was passed for x).
Keras does frequent row-oriented access to arrays (for shuffling and drawing batches) so the order of arrays created by this function is always row-oriented ("C" as opposed to "Fortran" ordering, which is the default for R arrays).
If the passed array is already a NumPy array with the desired dtype and "C"
order then it is returned unmodified (no additional copies are made).