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tsc_tutorial_keras_tf dimension problem #3

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ulkursln opened this issue Dec 19, 2019 · 1 comment
Open

tsc_tutorial_keras_tf dimension problem #3

ulkursln opened this issue Dec 19, 2019 · 1 comment

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@ulkursln
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Hi,

I am trying to run "attack fsm". I guess you suppose that timeseries is univariate. Because the shape of timeseries I used was (#timestemps, #length_of_timestemps, #dimension) and it throws an error at the "adv = adv.reshape(adv.shape[0],adv.shape[1])" line.
In fact, I could not get the underlying reason to reshape data with the same dimensions.
what do you think, is it easy to make the app to run with multivariate data?

@hfawaz
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hfawaz commented Dec 20, 2019

Hi,

Indeed we are working on multivariate data and will keep you up to date.

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