Why AI Works – Artificial Understanding


Monica Anderson lays out the epistemological underpinnings of classical AI vs deep learning. The important distinction being that the former is 'model based' while the latter is 'model free'. Before the advance of deep learning, programmers had to explicitly model the problem and express this logic based model in a computer program, a neural network on the other hand 'understands' the problem and creates an intuition based model based on the training data.


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