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I know. Jesus Christ you are condescending.
Sorry. Not my intent. I just wanted to clear up some general mislaid beliefs about the kind of "learning" in these systems. Just before ANNs made their "come back"-- they more or less died in the early 1990s-- the fashionable model was the "Random forest" (mid 1990s on). It works quite differently as in its underbelly are decision trees-- at the time RNNs (recurrent neural networks) were plauged by their need of large amounts of training data (no longer and issue) and massive computational demands (addressed now with GPUs) for training.
I know. Jesus Christ you are condescending.
I happen to have a pretty darn good CS degree, but talking like that ^ won't say anything to anyone.