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Fine Tuning VGG16 for CIFAR10 #79

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Tracked by #77
mehulrastogi opened this issue Aug 31, 2021 · 3 comments
Open
Tracked by #77

Fine Tuning VGG16 for CIFAR10 #79

mehulrastogi opened this issue Aug 31, 2021 · 3 comments
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easy An easy issue good first issue Good for newcomers Priority:Low Low Priority Tutorials Used for Tutorials

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@mehulrastogi
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mehulrastogi commented Aug 31, 2021 •
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Training (or getting a pre trained model) the VGG16 network for One Pixel Attack Tutorial. This can also be used by other attacks.
@mehulrastogi mehulrastogi mentioned this issue Aug 31, 2021
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@mehulrastogi mehulrastogi changed the title Fine Tuning VGG16 for CIFAR10 (refer table 4) Fine Tuning VGG16 for CIFAR10 Aug 31, 2021
@mehulrastogi mehulrastogi added good first issue Good for newcomers Priority:Low Low Priority Tutorials Used for Tutorials easy An easy issue labels Aug 31, 2021
@mehulrastogi mehulrastogi mentioned this issue Aug 31, 2021
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@mehulrastogi
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@Adversarial-Deep-Learning/computer-vision We can possibly store this on drive if someone does try retraining this. (or it is highly likely that someone can find a direct link to this on github somewhere )

@Shreyas-Bhat
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Hey, I would like to work on this

@pronoma
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pronoma commented Sep 12, 2021 •
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https://github.com/geifmany/cifar-vgg
I found this existing implementation of VGG16 for CIFAR-10, but they've used Keras instead of PyTorch. Will this work? Otherwise I would like to take it up...

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