They’re likely to be interchangeable, sorry. Here I might’ve misused the words to try tease out the difference that simply understanding how a given model works is not really insightful if the patterns are not understandable.
I think there are these nonsensical-seeming-patterns to humans might be a significant fraction of the learned patterns by deep networks. I was trying to understand the radical optimism, in contrast to my pessimism given this. The crux being since we don’t know what these patterns are and what they represent, even if we figure out what neurons detect them and which tasks they contribute most to, might not be able to do downstream tasks we require transparency for, like diagnose possible issues and provide solutions.
They’re likely to be interchangeable, sorry. Here I might’ve misused the words to try tease out the difference that simply understanding how a given model works is not really insightful if the patterns are not understandable.
I think there are these nonsensical-seeming-patterns to humans might be a significant fraction of the learned patterns by deep networks. I was trying to understand the radical optimism, in contrast to my pessimism given this. The crux being since we don’t know what these patterns are and what they represent, even if we figure out what neurons detect them and which tasks they contribute most to, might not be able to do downstream tasks we require transparency for, like diagnose possible issues and provide solutions.