%0 Journal Article %1 yosinski2014transferable %A Yosinski, Jason %A Clune, Jeff %A Bengio, Yoshua %A Lipson, Hod %D 2014 %J Advances in Neural Information Processing Systems %K deep deeplearning learning machine ml nips transfer %P 3320--3328 %T How transferable are features in deep neural networks? %U http://papers.nips.cc/paper/5347-how-transferable-are-features-in-deep-n%E2%80%A6 %V 27

@article{yosinski2014transferable, added-at = {2019-11-25T09:53:59.000+0100}, author = {Yosinski, Jason and Clune, Jeff and Bengio, Yoshua and Lipson, Hod}, biburl = {https://www.bibsonomy.org/bibtex/2b3575c1f69a7e44522833eb58542c79d/jaeschke}, description = {How transferable are features in deep neural networks?}, interhash = {56e235c78f36ae27560500c4887cc4e8}, intrahash = {b3575c1f69a7e44522833eb58542c79d}, journal = {Advances in Neural Information Processing Systems}, keywords = {deep deeplearning learning machine ml nips transfer}, pages = {3320--3328}, timestamp = {2021-05-19T08:35:34.000+0200}, title = {How transferable are features in deep neural networks?}, url = {http://papers.nips.cc/paper/5347-how-transferable-are-features-in-deep-n%E2%80%A6}, volume = 27, year = 2014 }