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 regularization
Search options answers only
not deleted
user 15412
Inclusion of additional constraints (typically a penalty for complexity) in the model fitting process. Used to prevent overfitting / enhance predictive accuracy.
8
votes
Regularization practice with ANNs
In order to prevent the model to overfit, we generally use a lot of regularization techniques among which Dropout is quite popular. …
- 3,061
3
votes
Convolutional Neural Network overfitting
This is because you have very little amount of data. If not enough data is provided to CNNs, they are very likely to overfit. You can do the following things in order to overcome this problem:
Data A …
- 3,061