1.Design a research, write one page report discussing the data and possible research questions.
2.Study one of the following literature and write one page comments.
Choose either 1 or 2 as your homework.
Norouzzadeh MS, Nguyen A, Kosmala M, Swanson A, Palmer MS, Packer C and Clune J (2018), Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning, Proceedings of the National Academy of Sciences. National Academy of Sciences.
Jean N, Burke M, Xie M, Davis WM, Lobell DB and Ermon S (2016), Combining satellite imagery and machine learning to predict poverty, Science. Vol. 353(6301), pp. 790-794. American Association for the Advancement of Science.
LeCun Y, Bengio Y and Hinton G (2015), Deep learning, Nature., 05, 2015. Vol. 521, pp. 436 EP -. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. SN -.
Ouyang W, Aristov A, Lelek M, Hao X and Zimmer C (2018), Deep learning massively accelerates super-resolution localization microscopy, Nature Biotechnology., April, 2018. Vol. 36, pp. 460. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved..
Shen Y, Harris NC, Skirlo S, Prabhu M, Baehr-Jones T, Hochberg M, Sun X, Zhao S, Larochelle H, Englund D and Soljačić M (2017), Deep learning with coherent nanophotonic circuits, Nature Photonics., June, 2017. Vol. 11, pp. 441. Nature Publishing Group.
Chiles J, Buckley SM, Nam SW, Mirin RP and Shainline JM (2018), Design, fabrication, and metrology of 10 × 100 multi-planar integrated photonic routing manifolds for neural networks, APL Photonics. Vol. 3(10), pp. 106101.
Lecun Y, Bottou L, Bengio Y and Haffner P (1998), Gradient-based learning applied to document recognition, Proceedings of the IEEE., Nov, 1998. Vol. 86(11), pp. 2278-2324.
Krizhevsky A, Sutskever I and Hinton GE (2012), ImageNet Classification with Deep Convolutional Neural Networks, In Advances in Neural Information Processing Systems 25. , pp. 1097-1105. Curran Associates, Inc..
Silver D, Huang A, Maddison CJ, Guez A, Sifre L, van den Driessche G, Schrittwieser J, Antonoglou I, Panneershelvam V, Lanctot M, Dieleman S, Grewe D, Nham J, Kalchbrenner N, Sutskever I, Lillicrap T, Leach M, Kavukcuoglu K, Graepel T and Hassabis D (2016), Mastering the game of Go with deep neural networks and tree search, Nature., January, 2016. Vol. 529, pp. 484. Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved..
Gebru T, Krause J, Wang Y, Chen D, Deng J, Aiden EL and Fei-Fei L (2017), Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States, Proceedings of the National Academy of Sciences. National Academy of Sciences.
Zeiler MD and Fergus R (2014), Visualizing and Understanding Convolutional Networks, In Computer Vision -- ECCV 2014. Cham , pp. 818-833. Springer International Publishing.