Search Results
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 |
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.
1
vote
1
answer
825
views
What was the batch size used in the original GoogleNet paper (Inception)?
It does not seem to be explicitly mentioned in the methods of the paper (available at https://arxiv.org/pdf/1409.4842.pdf).
6
votes
1
answer
6k
views
Is there a heuristic for determining the size of a fully connected layer at the end of a CNN?
For example, in VGG/OxfordNet, the fully connected (dense) layers that precede the final classification layer are of size 4096.
Similarly, in an AlexNet
... the number of neurons in the networ …