Keras layers support about fhe-toolkit-linux HOT 5 CLOSED

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Hi @stealthBanana . fhe-toolkit-linux and its ML-HElib library are no longer supported; you can try to use the HELayers C++ or Python docker images, as explained in the README. HELayers supports complex models such as AlexNet, as you found out.

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@stealthBanana thanks for posting, and as @dubek has already explained we aren't supporting the toolkit anymore, and have moved onto HELayers SDK. Please check out the latest release as it will have more of what you are looking for. You can either go to hub.docker.com and download helayers or run one of the scripts in this repo that will help you do it, such as this one ./StartHELayers.sh python. thanks!

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My bad, I didn't mention it in my question but I'm already using the docker image or the pyhelyers library, however the only documentation I could find are the notebook examples and I did not find any information on which keras layers are supported.

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@stealthBanana I see what you are saying. While we currently don't have any complete documentation that describes how to use the different tools, we do have several notebook examples. Several of them use keras.layers such as Activation or Dense. You can look at these examples and get a general idea of how to use it in your work. Specifically they are used in 04_TextClassification, 09_NeuralNetwork_MNIST, 13_pyhelayersext_NeuralNetwork_FraudDetection. There are a few others too if you search for them. The other thing that we do have is basic documentation on the C++ image. It is available by exposing another port, 8445, and then accessing it from there. It should help give you an overview of the SDK. I hope this helps get you started, as we are working toward more complete documentation. thanks!

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