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 |
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
1
vote
Accepted
Model Not Learning with Sparse Dataset (LSTM with Keras)
First of all, this has been quite a journey to solve. I had to ask for a friend's help who, in turn, presented me to a friend of his. The solution is something that appears somewhat intuitive to me, b …
3
votes
2
answers
3k
views
Model Not Learning with Sparse Dataset (LSTM with Keras)
This classification problem is apparently simple and I have no idea why it's not working, perhaps I'm doing a conceptual mistake. I'm trying to make a predictor which will classify minutes on a clock …