2018
An intriguing failing of convolutional neural networks and the CoordConv solution
NeurIPS 2018poster
Few ideas have enjoyed as large an impact on deep learning as convolution. For any problem involving pixels or spatial representations, common intuition holds that convolutional neural networks may be appropriate. In this paper we show a striking counterexample to this intuition via the seemingly tr…