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A convolutional neural network is a form of neural network with an additional convolutional layer, typically used in image & audio analysis. The convolutional layer is essentially a filtering stage defined by the kernel which is used. For example, a convolutional layer could have a kernel which extracts edges from an image towards the goal of learning which objects are in a scene.
4
votes
How to classify a data as not matching any label
Let's phrase it another way, decomposing into two problems:
given a sound, we want to know if it's of class A
given a sound, we want to know if it's of class B
This way of putting it is valuable t …
4
votes
How Can I Compute Information-Gain for Continuous- Valued Attributes
In decision trees, the (Shannon) entropy is not calculated on the actual attributes, but on the class label. If you wanted to find the entropy of a continuous variable, you could use Differential entr …