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 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.
2
votes
0
answers
569
views
MAPE changes when unnormalizing the data
I'm doing some regression analysis and in the preprocessing of the data first I'm taking log1p and then I'm normalizing the data. When done like that I'm getting MAPE around 0.94 % bu when I'm unnorma …
1
vote
0
answers
901
views
Proof of NOT initialization of weights to zero [duplicate]
Can anyone provide me the mathematical details to why we shouldn't initialize a neural network (single layer ANN) weights to zero? In multi-layer we don't initialize it to zero because of loss of symm …
0
votes
0
answers
228
views
Data balancing in image classification
I've to segment defects from an image. The image consists of only tomatoes with it's defects in it. The defects and tomatoes in the dataset are as follows:
tomato = 20900
Defects:
tip = 2129
spots …
1
vote
0
answers
18
views
Create score for comaparison of algorithms
The following graph gives the results from a test. The y axis shows the MAPE (error) which should be minimum, the x-axis shows the epochs which should also be minimum.
As one can see two algos are co …