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 | |
Results tagged with neural-networks
Search options not deleted
user 52014
For questions about artificial networks, such as MLPs, CNNs, RNNs, LSTM, and GRU networks, their variants or any other AI system components that qualify as a neural networks in that they are, in part, inspired by biological neural networks.
3
votes
Accepted
What is meant by "lateral connection" in the context of neural networks?
Lateral connection in NN simply means that units in a hidden layer are connected with one another. Suppose we have a hidden layer Hi which has 10 from (1,2,....10) then lateral connection implies that …
- 164
1
vote
Is non-negative matrix factorization for machine learning obsolete?
I will give you a few scenarios where matrix factorisation stills works pretty well.
Topic Modelling : Given a matrix of Document as Rows and Terms/Words as column you can use Non Negative Matrix fac …
- 164
0
votes
Why does Batch Normalization work?
When we are training deep neural Network gradient tells how to update each parameter, under the assumption other layers do not change.In Practice, we update all the layers simultaneously. When we upd …
- 164