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Tensorflow is preferred but Caffe works too. What I'm looking for are pretrained image recognition, audio recognition, etc algorithms that can be embedded into
by gregw134 10y ago
Tensorflow is preferred but Caffe works too. What I'm looking for are pretrained image recognition, audio recognition, etc algorithms that can be embedded into a Nifi processor, so that popular ML techniques can be accessed with a drag and drop interface :)
- malux85 10y agoThis is a cool idea! I dont know of an authorative list, but it might be good to start one! Usually the models have a name, after the project or paper that was used, To get you started, here's the "Inception v3" model: https://storage.googleapis.com/download.tensorflow.org/models/inception_dec_2015.zip https://storage.googleapis.com/download.tensorflow.org/model... Maybe making a list of "Inception v3", "ImageNet" etc, then letting the user select? Most ML engineers know these by their names. One for caffe: You can download BVLC CaffeNet Model from: http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.c...