6.5k citations · 10.4k across the 118 of their papers we have counts for
3 papers · 1 filter
Convolutional Monte Carlo Rollouts in Go
Peter H. Jin, Kurt Keutzer
In this work, we present a MCTS-based Go-playing program which uses convolutional networks in all parts. Our method performs MCTS in batches, explores the Monte Carlo search tree u…
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz +1
Long training times for high-accuracy deep neural networks (DNNs) impede research into new DNN architectures and slow the development of high-accuracy DNNs. In this paper we presen…
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
Forrest N. Iandola, Anting Shen, Peter Gao +1
Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto's service for marketers to track their brands in user-generated images, and LogoGrab…