We try and breakdown how machine learning has evolved. Black boxes are essentially modern machine learning models. They are intricate and have even confounded researchers
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Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who
Feature-attribution methods are used to determine if a neural network is working correctly when completing a task like image classification. MIT researchers developed a way to evaluate whether these feature-attribution methods are correctly identifying the features of an image that are important to a neural network’s prediction.
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