Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 179483

Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

2 votes
1 answer
139 views

Explanation of Equation 5.80 in Pattern Recognition and Machine Learning - Bishop

How the equation 5.80 in _Pattern Recognition and Machine Learning_ by Bishop is derived?
ironhide012's user avatar
1 vote
Accepted

Explanation of Equation 5.80 in Pattern Recognition and Machine Learning - Bishop

I tried to figure out the maths behind it and this is what I understood. The perceptron architecture having the two layers ($j$,$k$) is shown below. The activation function at node $j$ is $h(.)$ and $ …
ironhide012's user avatar