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Thanks for sharing your ideas and source code. It is interesting.
I re-implement your model in tensorflow 2. While training the validation loss is NaN. Did you encounter this problem? If yes, how did you solve this.
Thanks again.
The text was updated successfully, but these errors were encountered:
Which "gradient type" do you use here? https://github.com/clks-wzz/FAS-SGTD/blob/master/fas_sgtd_single_frame/util/util_network.py#L57 I recommend that you can try "gradient_type == 'type1'".
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I saw that. It does fix the problem. Thank you.
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Thanks for sharing your ideas and source code. It is interesting.
I re-implement your model in tensorflow 2. While training the validation loss is NaN. Did you encounter this problem? If yes, how did you solve this.
Thanks again.
The text was updated successfully, but these errors were encountered: