there is a way to select (automatically with some sort of algo or function in deeplearning4j or other libs) the best attributes from a set of attributes?
the example like this one
it’s clear that col1 it’s useless, it’s always 0.
but other scenario can also apply, where an attribute “influence” it’s not important for the classification. It’s possible to determinate a set of best attributes to use and make the network work better?