Quote:
Originally Posted by chants
Is there a good dataset out there containing pictures of many circuits e.g. a carry ripple adder, a Wallace tree multiplier, IEEE floating point operations, barrel shifters, leading zero counters, etc and so forth.
Would it then be possible to train a machine learning model to classify parts of circuits using that, so that to decode a complicated chip or even an FPGA circuit which is rendered as an image in a tool, component by component? It would seem to me like a really powerful way to understand or reverse complex logic circuits.
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I will try to help answer your very "notice" (learn to spell first
) question in a way you can understand as you seem to be very new to this field.
There is something called a search engine. Google is a good example of one.
Open it in your browser and type your query in the search bar.
You will get a good number of answers.
Replied in your
own style.