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 batch-normalization
Search options not deleted
user 52014
Batch normalization is a technique for improving the speed, performance, and stability of artificial neural networks. Batch normalization is used to normalize the input layer by adjusting and scaling the activations.
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