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Before reporting an issue, please make sure you are using the latest versions of frugally-deep, and the right TensorFlow version.
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Also check out the FAQ. Maybe your problem/question is common and there already is a canonical answer for it.
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If you have a model and you get unexpected errors when converting it for or when using it with frugally-deep, please upload and post a link to your model file (
.keras). -
Please try to make the problem reproducible by providing a SSCCE as code.
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Feel free to also submit any other feedback, suggestions or questions you might have. :)