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[**]      03/19­00:00:09.176188 10.48.0.1:2010 ­> 10.48.0.81:80      TCP TTL:240 TOS:0x10 ID:0 IpLen:20 DgmLen:77      ***AP*** Seq: 0x92A Ack: 0x33928A9F Win: 0x8000 TcpLen: 20 » Sole correct alert: [...] overlapping IP fragments » Snort 2.8.0.1 fixed some issues, but introduced new ones: inconsistent forward retransmission overlap no longer detected Trace-based idsprobe results, cont'd » Observations from …

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Learning Neural Networks with Backpropagation – Lecture Notes

\[\begin{align*} \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial w^{(l)}_{ji}} & = \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l)}_j} \cdot \tfrac {\rule[-3pt]{0pt}{3pt}\partial \smash {a^{(l)} [...] \(\delta ^{(L)}_j=\tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(L)}_j} =\tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial y^{(L)}_j}\cdot \tfrac {\rule[-3pt]{0pt}{3pt}\smash {\partial y^{(L)}_j}}{\partial [...] \delta ^{(l)}_j & = \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l)}_j} = \sum \nolimits _k \underbrace{\rule[-6pt]{0pt}{20pt}\smash { \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l+1)}_k} …

Learning Neural Networks with Backpropagation – Lecture Notes

\[\begin{align*} \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial w^{(l)}_{ji}} & = \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l)}_j} \cdot \tfrac {\rule[-3pt]{0pt}{3pt}\partial \smash {a^{(l)} [...] \(\delta ^{(L)}_j=\tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(L)}_j} =\tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial y^{(L)}_j}\cdot \tfrac {\rule[-3pt]{0pt}{3pt}\smash {\partial y^{(L)}_j}}{\partial [...] \delta ^{(l)}_j & = \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l)}_j} = \sum \nolimits _k \underbrace{\rule[-6pt]{0pt}{20pt}\smash { \tfrac {\rule[-3pt]{0pt}{3pt}\partial E}{\partial a^{(l+1)}_k} …

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