Comments (1)
Hi, @omerbrandis .
the generated images for ouzel class are different for each execution.
It's exactly expected behavior. There are two reasons for that.
First, in default, the initial values of the image is randomly generated.
(If you don't want that, you can gave arbitrary values as initial values to tf-keras-vis using seed_input
option.)
Second, in default, the image is randomly modified each step using InputModifiers.
For that reason, the image during activation maximization is changing as follow.
from tf-keras-vis.
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from tf-keras-vis.