Exact(60)
The resulting array of feature maps is run through one final set of filters.
Middle row: feature maps.
Self-organising feature maps.
Bottom row: feature maps with missing pixels.
Below the line: feature maps in emotion recognition.
Contextual information can be stored in feature maps on themselves.
32 feature maps are generated after the convolution.
Fig. 7 Above the line: feature maps in facial recognition.
b Feature maps of a certain convolutional layer.
The feature maps are computed using Kohonen unsupervised learning.
The depth indicates the number of output feature maps.
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