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 137013
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.
6
votes
2
answers
4k
views
Why does the accuracy not change, when applying different alpha values in L2 regularisation
Figure below shows the accuracy using different alpha values in L2 regularisation. As long as alpha
is small in the range of $10^{-12}$ to $10^{-2}$ the accuracy remain the same. I do undarstand when …
- 295
11
votes
3
answers
19k
views
How to apply Softmax as Activation function in multi-layer Perceptron in scikit-learn? [closed]
I need to apply the Softmax activation function to the multi-layer Perceptron in scikit. The scikit documantation on the topic of Neural network models (supervised) says "MLPClassifier supports multi- …
- 295