%0 Book Section %1 lecun-efficient-backprop-1998 %A LeCun, Yann %A Bottou, Leon %A Orr, Genevieve %A Müller, Klaus %B Neural Networks: Tricks of the Trade %D 1998 %I Springer Berlin / Heidelberg %K back-propagation character_recognition mnist network neural %P 546 %R 10.1007/3-540-49430-8\_2 %T Efficient BackProp %U http://dx.doi.org/10.1007/3-540-49430-8\_2 %X The convergence of back-propagation learning is analyzed so as to explain common phenomenon observed by practitioners. Many undesirable behaviors of backprop can be avoided with tricks that are rarely exposedin serious technical publications. This paper gives some of those tricks, ando.ers explanations of why they work. Many authors have suggested that second-order optimization methods are advantageous for neural net training. It is shown that most ” classical” second-order methods are impractical for large neural networks. A few methods are proposed that do not have these limitations. %& 2 %@ 978-3-540-65311-0

@incollection{lecun-efficient-backprop-1998, abstract = {The convergence of back-propagation learning is analyzed so as to explain common phenomenon observed by practitioners. Many undesirable behaviors of backprop can be avoided with tricks that are rarely exposedin serious technical publications. This paper gives some of those tricks, ando.ers explanations of why they work. Many authors have suggested that second-order optimization methods are advantageous for neural net training. It is shown that most ” classical” second-order methods are impractical for large neural networks. A few methods are proposed that do not have these limitations.}, added-at = {2016-07-12T19:24:18.000+0200}, author = {LeCun, Yann and Bottou, Leon and Orr, Genevieve and M{\"{u}}ller, Klaus}, biburl = {https://www.bibsonomy.org/bibtex/24ef56e477071b3b8c01d461611db31dd/mhwombat}, booktitle = {Neural Networks: Tricks of the Trade}, chapter = 2, citeulike-article-id = {6424181}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/3-540-49430-8\_2}, citeulike-linkout-1 = {http://www.springerlink.com/content/4w0bab2v3qnqhwyr}, doi = {10.1007/3-540-49430-8\_2}, file = {:/wombat/taighde/docs/neural_nets/lecun-98b.pdf:PDF;:lecun-98b.pdf:PDF}, groups = {public}, interhash = {a6f15d33edec4a864b051e66b4871355}, intrahash = {4ef56e477071b3b8c01d461611db31dd}, isbn = {978-3-540-65311-0}, keywords = {back-propagation character_recognition mnist network neural}, pages = 546, posted-at = {2009-12-22 16:27:30}, priority = {2}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2016-07-12T19:25:30.000+0200}, title = {Efficient BackProp}, url = {http://dx.doi.org/10.1007/3-540-49430-8\_2}, username = {mhwombat}, year = 1998 }