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Results tagged with machine-learning
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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.
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
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
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