Deep Networks: Overview
From Ufldl
(→Advantages of deep networks) |
(→Advantages of deep networks) |
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<math>n</math>. | <math>n</math>. | ||
| - | By using a deep network, one can also start to learn part-whole decompositions. | + | By using a deep network, in the case of images, one can also start to learn part-whole decompositions. |
For example, the first layer might learn to group together pixels in an image | For example, the first layer might learn to group together pixels in an image | ||
in order to detect edges. The second layer might then group together edges to | in order to detect edges. The second layer might then group together edges to | ||
