Learning intermediate features of affordances with a convolutional neural network
Learning intermediate features of affordances with a convolutional neural network is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include object, affordance, convolutional neural network, manipulator, Structural health monitoring, artificial intelligence, interpretability, action, and computer science. The authors view this representational analysis as the first step towards a more formal account of how humans perceive and interact with the environment.