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28 Aug

How Reliable Are Neural Networks Classifiers Against Unforeseen Adversarial Attacks

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image-6757

 The reliability of a machine learning model is assessed based on how erroneous it is. Lesser the number of errors, better the prediction. In theory, ML models should be able to predict, classify and recommend right every single time. However, when deployed in the real world, the model has a very good chance of running…

The post How Reliable Are Neural Networks Classifiers Against Unforeseen Adversarial Attacks appeared first on Analytics India Magazine.