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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?
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kamadforge
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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
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.
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.
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?
The text was updated successfully, but these errors were encountered: