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I was asked to embed an AlexNet in a Java application but I'm not a machine learning at all. This is what I did. First I tried to build it using MatLab (using this deploy https://github.com/BVLC/caffe/blob/master/models/bvlc_alexnet/deploy.prototxt) but it returned a network in .onnx format; unfortunatelly I need a caffemodel, and therefore I tried to covert it using https://github.com/MTlab/onnx2caffe and https://github.com/onnx/onnx/blob/master/README.md but these latterse do not support Local Response Normalization (LRN) convolutional layer ("TypeError: ONNX node of type LRN is not supported." error came out). At this point I triend to use this wrapper https://github.com/fabiocarrara/pyffe but after 2 days of set up, installing, upgranding, changing configuration files I gave up. My question is: can you please reccommend me a simple and effective script or tutorial that train an AlexNet from scratch? Thanks very much

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