Derp Learning

“Derp Learning” is a categorization of the mistakes that “deep learning” techniques in artificial intelligence tend to make. It’s a typo, but also a deep insight into how complex systems fail. Some examples to illustrate: Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images, 2014. Nguyen describes “fooling images” that deep neural networks misclassify after being trained with a training set. These images are straightforward to construct and will fool the network with high confidence. »