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 machine-learning
Search options not deleted
user 258209
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
0
votes
1
answer
80
views
Using multiple neural nets in sequence on one classification problem
I'm working on a time-series (comm signals) classification problem that has 25 possible classes. I have one fairly deep CNN that can perform fairly well on this problem, but I'm hoping to make better. …
- 109
3
votes
Can increasing the amount of training data make overfitting worse?
The fact that dataset B "has a different feature distribution than dataset A" makes the question fairly ambiguous. It's equivalent to asking how well will a neural net trained for problem A work on pr …
- 109