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 |
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
2
votes
Accepted
Loss and val loss too big
It could be normal to have such large loss value if your predicted values are far from the ground truth values (because of the square in the mean squared error loss).
Try to print the predicted values …
2
votes
can a perceptron be used for regression?
Yes a perceptron (one fully connected unit) can be used for regression. It will just be a linear regressor. If you use no activation function you get a regressor and if you put a sigmoid activation yo …
0
votes
Accepted
Using sigmoid in binary DNN output layer instead of softmax?
In a binary classification problem you have only 2 classes, let's call them the negative and the positive class.
You only need to ouptut 1 number which corresponds to the probability of your input poi …