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 112095
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.
4
votes
Accepted
Why increasing lambda parameter in L2-regularization makes the co-efficient values converge ...
Yep, that is one way to think about it, although it seems a tad obscure to me.
I think it's simpler to just look at your $\text{cost}$ equation:
$\text{cost}(\hat{w_1}, \lambda) = (y - \hat{w_1} \cd …
- 982
19
votes
How is Spatial Dropout in 2D implemented?
This response is a bit late, but I needed to address this myself and thought it might help.
Looking at the paper, it seems that in Spatial Dropout, we randomly set entire feature maps (also known as …
- 982
4
votes
Struggling to make a neural network mimic a basic if statement
The curvature of the cost surface with these particular inputs and outputs makes this a bit of a pathological example. A 'good' solution can be found by just outputting 0.333 all the time, and if you …
- 982
3
votes
Accepted
Stochastic gradient descent for neural networks with tied weights
First of all, shouldn't your equation (1) be the following?
$$
\frac{\partial E}{\partial w_{tied}} = \frac{\partial E}{\partial f}(\frac{\partial f}{\partial h_1}\frac{\partial h_1}{\partial w_1}+\fr …
- 982
2
votes
Image classification, narrow domain with custom labels
Here's one tutorial on training a deep convnet from scratch in Keras. There should be plenty of other examples on the web.
You could still use a pre-trained model for this, and just re-train some of …
- 982