Why is mean squared error the cross-entropy between the empirical distribution and a Gaussian model? – stats.stackexchange.com 12:31 Posted by Unknown No Comments In 5.5, Deep Learning (by Ian Goodfellow, Yoshua Bengio and Aaron Courville), it states that Any loss consisting of a negative log-likelihood is a cross-entropy between the empirical distribution ... from Hot Questions - Stack Exchange OnStackOverflow via Blogspot Share this Google Facebook Twitter More Digg Linkedin Stumbleupon Delicious Tumblr BufferApp Pocket Evernote Unknown Artikel Terkait\char`xx with a backslash – tex.stackexchange.comWhat is an exocyclic double bond? – chemistry.stackexchange.comHow long can creatures fly when being used as mounts? – rpg.stackexchange.comHow does a PXE client know what network its on? – superuser.comIs this even a property of periodic functions? – math.stackexchange.comHow to relate stormy weather to sadness? – writing.stackexchange.com
0 Comment to "Why is mean squared error the cross-entropy between the empirical distribution and a Gaussian model? – stats.stackexchange.com"
Post a Comment