{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T01:09:11Z","timestamp":1760404151177},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319701356"},{"type":"electronic","value":"9783319701363"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70136-3_87","type":"book-chapter","created":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T06:33:43Z","timestamp":1508913223000},"page":"821-829","source":"Crossref","is-referenced-by-count":2,"title":["A Hardware-Oriented Dropout Algorithm for Efficient FPGA Implementation"],"prefix":"10.1007","author":[{"given":"Yoeng Jye","family":"Yeoh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takashi","family":"Morie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hakaru","family":"Tamukoh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,26]]},"reference":[{"key":"87_CR1","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Networks 61, 85\u2013117 (2015)","journal-title":"Neural Networks"},{"issue":"7553","key":"87_CR2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"87_CR3","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"87_CR4","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"1","key":"87_CR5","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"87_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-28487-7","volume-title":"FPGA Implementations of Neural Networks","year":"2006","unstructured":"Omondi, A.R., Rajapakse, J.C. (eds.): FPGA Implementations of Neural Networks, vol. 365. Springer, New York (2006). doi:\n10.1007\/0-387-28487-7"},{"key":"87_CR7","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.R.: Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint \narXiv:1207.0580\n\n (2012)"},{"key":"87_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2015.07.007","volume":"71","author":"H Wu","year":"2015","unstructured":"Wu, H., Gu, X.: Towards dropout training for convolutional neural networks. Neural Networks 71, 1\u201310 (2015)","journal-title":"Neural Networks"},{"key":"87_CR9","unstructured":"Wan, L., Zeiler, M., Zhang, S., Cun, Y.L., Fergus, R.: Regularization of neural networks using dropconnect. In: Proceedings of the 30th international conference on machine learning (ICML-2013), pp. 1058\u20131066 (2013)"},{"issue":"5","key":"87_CR10","first-page":"203","volume":"4","author":"VV Bonde","year":"2015","unstructured":"Bonde, V.V., Kale, A.: Design and implementation of a random number generator on FPGA. Int. J. Sci. Res. 4(5), 203\u2013208 (2015)","journal-title":"Int. J. Sci. Res."},{"issue":"11","key":"87_CR11","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"87_CR12","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images (2009)"},{"key":"87_CR13","unstructured":"Tokui, S., Oono, K., Hido, S., Clayton, J.: Chainer: a next-generation open source framework for deep learning. In: Proceedings of Workshop on Machine Learning Systems (LearningSys) in the Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS), vol. 5 (2015)"},{"key":"87_CR14","unstructured":"Robocup@home. \nhttp:\/\/www.robocupathome.org\/"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70136-3_87","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T06:58:31Z","timestamp":1508914711000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70136-3_87"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319701356","9783319701363"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70136-3_87","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}