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Practical tutorial how to implement Deep Compression for a network in Caffe #4697

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kamadforge opened this issue Sep 9, 2016 · 2 comments
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@kamadforge
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Is there any practical (step by step) tutorial how to speed up the network in Caffe in a way similar to the paper on the Deep Compresion or the alike. There is an issue #4294 that touches on pruning by means of using a sparse layer but I am not sure about the details (e.g. prototxt sample) how to use it. Also, here is a link on quantization with TensorFlow. Is it possible to do it in Caffe, as well?

@kamadforge kamadforge changed the title Practical tutorial how to implement Deep Compression for the network in Caffe Practical tutorial how to implement Deep Compression for a network in Caffe Sep 9, 2016
@shelhamer
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There is not currently a bundled tutorial on how to do model compression, though there are several options. Please ask modeling and usage questions on the mailing list.

From https://github.com/BVLC/caffe/blob/master/CONTRIBUTING.md:

Please do not post usage, installation, or modeling questions, or other requests for help to Issues.
Use the caffe-users list instead. This helps developers maintain a clear, uncluttered, and efficient view of the state of Caffe.

@yiakwy
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yiakwy commented Oct 27, 2016

This is a great direction where we can contribute to !!!

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