Been digging around on the net again on AI. It's an annual thing. Looking for content I can follow along and got many repeat lessons. A NN would be great to train and look at data but the feed-forward thing is another animal. Maybe conditional logic is not the way to go.
Many likely use a IF-THEN and a noodle network (organic) trying to come to the answer to the THEN in selecting number sets or digits to play. There are many trends to follow in different ways and interactions of trends within trend data. Trends are the IF used for the THEN.
Training computers to look at tanks like we do is not the answer. Our visible spectrum is not as discerning to information present as opposed to a CCD- but thermal imaging, or a different view would provide much enhanced perception beyond the human eye's range. The tank ID NN could possibly perform better with information not normally taken into consideration. Maybe we need a different perspective from or with IF-THEN.
I heard something interesting on the radio about the sense of smell. It apparently bears a stronger weight than was thought on our combined perceptions and reactions. It was a study of vegans and meat-eaters. The vegans did not react (brainwave) like one would think when smelling meat and seeing a picture of a meat meal. In fact, the results for each consumer were 180 degrees out of what one would think.
K
DD