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 convolutional-neural-networks
Search options not deleted
user 24014
For questions about convolutional neural networks, also known as CNN or ConvNet.
1
vote
0
answers
36
views
What else beyond convnets is needed to detect sameness in a Bongard problem?
In her book Artificial Intelligence - A Guide for Thinking Humans, Melanie Mitchell explains that convolutional neural networks fail to build a useful model for these two classes of images, yielding c …
2
votes
Accepted
"Tweaking" the cost function to penalize rarer cases more severely
Yes, you can use weighted MSE by applying different coefficients to each data point.
Here is an implementation given by Francisco Massa at https://discuss.pytorch.org/t/how-to-implement-weighted-mean- …