1. Baxter—redening robotics and manufacturing—rethink robotics. http://www.rethinkrobotics.com/baxter/ . Accessed 19 May 2016
2. Ros.org—powering the world’s robots. http://www.ros.org/ . Accessed 22 May 2016
3. Bengio, Y.: Deep learning of representations for unsupervised and transfer learning. In: Guyon, I., Dror, G., Lemaire, V., Taylor, G.W., Silver, D.L. (eds.) ICML Unsupervised and Transfer Learning. JMLR Proceedings, vol. 27, pp. 17–36. JMLR.org (2012). http://dblp.uni-trier.de/db/journals/jmlr/jmlrp27.html#Bengio12
4. Chetlur, S., Woolley, C., Vandermersch, P., Cohen, J., Tran, J., Catanzaro, B., Shelhamer, E.: CUDNN: efficient primitives for deep learning. CoRR abs/1410.0759 (2014). http://arxiv.org/abs/1410.0759
5. Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T., Eecs, U.C.B.: Caffe: convolutional architecture for fast feature embedding (2014)