Neural networks sprint through data, their architecture makes it difficult to trace the origin of errors that are obvious to humans -- like confusing a Converse high-top with an ankle boot -- limiting their use in more vital work like health care image analysis or research.
"In a sense, if a neural network were able to speak, we're showing you what it would be trying to say," said David Gleich, a Purdue professor of computer science in the College of Science who developed the tool, which is featured in a paper published in Nature Machine Intelligence.
Neural network image recognition systems are essentially algorithms that process data in a way that mimics the weighted firing pattern of neurons as an imaging task.
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