Justin Tahmassebpur

Neural networks show surprising robustness to heavily corrupted inputs

Researchers have explored how neural networks can maintain accuracy even when presented with heavily corrupted input data. Their experiments with multi-layer perceptrons showed that networks could still perform well abo…