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 103185

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.

0 votes
4 answers
2k views

Why the change in output of a sigmoid neuron is a linear function of change in weights and c...

I read this chapter from Michael Neilson book http://neuralnetworksanddeeplearning.com/chap1.html which claims by quoting the following equation, equation no. 5 $$ \delta output \approx \sum_j\frac{ …
Ajay Singh's user avatar
1 vote

What is the difference between Sigmoid neurons and Stochastic binary neurons?

Stochastic Binary is not a smooth function, it is like a step function where as Sigmoid is a smooth function. Although at extreme ends, large positive and large negative Sigmoid give a similar behavio …
Ajay Singh's user avatar