CDNN2 also supports fully convolutional networks, thereby allowing any given network to work with any input resolution. Pete Warden, lead of the TensorFlow Mobile/Embedded team at Google, commented: ...

PV module fault diagnosis uses convolutional neural network Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies.