Comments (4)
@oystersandwich , Thank you for your reporting the error!
You can avoid this error by modifying input_modifiers
and regularizers
options like below:
from tf_keras_vis.utils.regularizers import Norm
activations = activation_maximization(score,
steps=256,
input_modifiers=[],
regularizers=[Norm(10.)],
callbacks=[PrintLogger(interval=50)])
(EDITED: Remove Jitter and Add L2Norm.)
The cause of this problem is that tf_keras_vis.utils.input_modifiers.Rotate
can't support N-dim inputs.
We will rename Rotate
to Rotate2D
and improve them to get the proper error.
Thanks!
from tf-keras-vis.
@keisen , thanks very much for your quick reply!
Cannot say I already fully understand your solution, but I can report the former one with jitter is working:
from tf_keras_vis.utils.input_modifiers import Jitter
activations = activation_maximization(score_function,
steps=256,
input_modifiers=[Jitter(jitter=8)],
callbacks=[PrintLogger(interval=5)])
However, the edited one with tf_keras_vis.utils.regularizers import Norm
does not work..?
from tf-keras-vis.
Thank you for letting me know that.
Cannot say I already fully understand your solution, but I can report the former one with jitter is working:
However, the edited one with tf_keras_vis.utils.regularizers import Norm does not work..?
I may not understand your situation enough, or my test environment may have any problem.
In any case, there is no problem if your work is well !
from tf-keras-vis.
However, the edited one with tf_keras_vis.utils.regularizers import Norm does not work..?
I looked into this error, but I didn't find the cause of it.
So, if you could, please submit the message and stack trace of the error.
Thanks!
from tf-keras-vis.
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