Hacker Noon November 21, 2020
Neural networks gave us a powerful and cheap-to-use tool for solving problems of forecasting, computer vision, and text analysis. However, at the same time, they brought the problem of inaccuracy, which is presented as the “norm” and “black box” for deep networks, the derivation of which is difficult to understand and improve.
It is unreasonable to set up a neural network to control complex, expensive objects, where the cost of an error is high or can cost lives or irepparable damage. This area also includes medicine, where neural networks have recently been used to analyze images and make a diagnosis. If the first is quite justified – we currently do not have another technology comparable to CNN – networks (Attention...
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