Hey, thanks for responding. See responses inlined.
On Mon, Oct 1, 2012 at 4:24 AM, Jim - FooBar(); <jimpil1...@gmail.com>wrote: > I've always found this page very good : > > http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html > > generally, the weight of a connection is adjusted by an amount > proportional to the product of an error signal δ, on the unit k receiving > the input and the output of the unit j sending this signal along the > connection. You use the chain rule to calculate partial derivatives. > > also this looks quite detailed with regards to what you're asking: > > > https://docs.google.com/viewer?a=v&q=cache:9ahoWLbap8AJ:www.cedar.buffalo.edu/~srihari/CSE574/Chap5/Chap5.3-BackProp.pdf+the+partial+derivative+of+the+error+neural+nets&hl=en&gl=uk&pid=bl&srcid=ADGEEShVr8tHNIryQDGp0jJ2xv6JM40Ja4UFbcr2-QDgU1tK4Di_4mUTVgWsHdjHphbS7MaHmSn8VwB3dEnAQz-w4J-iyF1VJFklvLoDY5fxJbGaHsU0mio7XQYmGom0_cd7aZkUzhq5&sig=AHIEtbTyaLysuBdK7Bn_-cMzE88tqOzlag<https://docs.google.com/viewer?a=v&q=cache:9ahoWLbap8AJ:www.cedar.buffalo.edu/%7Esrihari/CSE574/Chap5/Chap5.3-BackProp.pdf+the+partial+derivative+of+the+error+neural+nets&hl=en&gl=uk&pid=bl&srcid=ADGEEShVr8tHNIryQDGp0jJ2xv6JM40Ja4UFbcr2-QDgU1tK4Di_4mUTVgWsHdjHphbS7MaHmSn8VwB3dEnAQz-w4J-iyF1VJFklvLoDY5fxJbGaHsU0mio7XQYmGom0_cd7aZkUzhq5&sig=AHIEtbTyaLysuBdK7Bn_-cMzE88tqOzlag> > > Looking at page 9 of this document, I take the error derivative calculation to be: Thus required derivative *∂En/∂w ji* is obtained by... 1. Multiplying value of δ ( for the unit at output end of weight ) 2. by value of z ( for unit at input end of weight ) So take this output neuron and it's input weights. Let's say the total neural network error is *-0.3963277746392987*. I just multiply that total error by each weight, to get the bolded, green error values. So what you're saying is that the error derivative *∂En/∂w ji *( or weight change) for each input is that same error value, below in green. Is this the case? :output-layer > > > > ({:calculated-error -1.1139741279964241, > > > :calculated-value 0.9275622253607013, > > > :inputs > > > ({:error *-0.2016795955938916*, > :calculated 0.48962608882549025, > > > :input-id "583c10bfdbd326ba525bda5d13a0a894b947ffb", > > > :weight 0.5088707087900713, > > > :bias 0} > > > {:error *-0.15359996014735702*, > :calculated 0.3095962076691644, > > > :input-id "583c10bfdbd326ba525bda5d13a0a894b947ffa", > > > :weight 0.38755790024342773, > > > :bias 0} > > > {:error *-0.11659507401745359* > :calculated 0.23938733624830652, > > > :input-id "583c10bfdbd326ba525bda5d13a0a894b947ff9", > > > :weight 0.2941885012312543, > > > :bias 0} > > > {:error *-0.2784739949663631*, > :calculated 0.6681581686752845, > > > :input-id "583c10bfdbd326ba525bda5d13a0a894b947ff8", > > > :weight 0.7026355778870271, > > > :bias 0} > > > {:error *-0.36362550327135884*, > :calculated 0.8430641676611533, > > > :input-id "583c10bfdbd326ba525bda5d13a0a894b947ff7", > > > :weight 0.9174868039523537, > > > :bias 0}), > > > :id "583c10bfdbd326ba525bda5d13a0a894b947ff6"}) > > > > -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en
