Timeline for Cross-entropy cost function in neural network
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 29, 2017 at 10:10 | comment | added | YellowPillow | This might be useful for you in understanding backprop it goes through the back prop with a four layer neural network with a cross entropy loss in gory detail :) cookedsashimi.wordpress.com/2017/05/06/… | |
| Aug 19, 2015 at 15:21 | vote | accept | Adam12344 | ||
| Aug 19, 2015 at 2:40 | comment | added | lmjohns3 | Doing backprop is a whole separate can of worms! The page you linked to has a description of computing derivatives etc. and there are many questions about backprop on stackoverflow and this site. Try looking around a bit and then posting a separate question specifically about backprop. | |
| Aug 19, 2015 at 2:30 | comment | added | Adam12344 | Thanks! So this would give us a single number for our error for the whole network, over all of our samples. For back propagation I need to find the partial derivative of this function wrt the weight matrix in the final layer. How would I do that? | |
| Aug 19, 2015 at 1:32 | history | edited | lmjohns3 | CC BY-SA 3.0 |
remove unnecessary first sentence
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| Aug 19, 2015 at 1:26 | history | answered | lmjohns3 | CC BY-SA 3.0 |