Recently, there has been a flurry of industrial activity around logorecognition, such as Ditto's service for marketers to track their brands inuser-generated images, and LogoGrab's mobile app platform for logo recognition.However, relatively little academic or open-source logo recognition progresshas been made in the last four years. Meanwhile, deep convolutional neuralnetworks (DCNNs) have revolutionized a broad range of object recognitionapplications. In this work, we apply DCNNs to logo recognition. We proposeseveral DCNN architectures, with which we surpass published state-of-artaccuracy on a popular logo recognition dataset.