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Observing Hidden Unit Activations
Another way of interpreting the hidden layer functionality is to observe the
density of activations in each hidden unit. This observation can be done on
the output of the hidden unit, i.e. the result of the activation function, or
at an earlier stage, i.e. the net input of the hidden unit. The density plot
will give the density distribution of possible activations of the hidden unit,
given the set of input patterns.
There are two ways of displaying these density plots (see Section 4.2.2)
:
- Jittered Density Plots[Berkeley95] ,
- where high number
of input patterns resulting a certain output range is observed by dense scattered
points in a plot seen in Figure 5 (use tool described in Section
4.2.2) and,
Figure 5:
A jittered density plot.
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- Histogram Plots ,
- where the number of input patterns
resulting in the activations are accumulated in bins along the output range
in plot as seen in Figure 6 (use tool described in Section 4.2.2).
Figure 6:
The histogram plot for the same unit for which the jittered
density plot was given in Figure 5.
|
Next: Generate Inputs Sets
Up: Analysis of Trained Network
Previous: Representing the Input Space
Cengiz Gunay
2000-06-25