This repository implements the technique of synthesizing preferred inputs for neurons in neural networks using deep generator networks (Upconvolutional networks). The approach inverses a neural network to find inputs that maximally activate specific neurons, enabling visualization and understanding of what visual features individual neurons detect. Built on Caffe with Python bindings, it includes downloading pre-trained generator networks and visualization target models.