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Do you think you would be interested in taking up the XNOR based implementation now? Or, at least do a proof of concept of MNIST/CIFAR XNOR network on an Intel CPU itself?
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I tried using python 3.6 + LCE 0.6.2 and python 3.7/3.8 + LCE 0.7.0 to run the following code, and the tflite file generated has unexpected sizes:
For python 3.6 + LCE 0.6.2:
XNOR tflite: 88.9 MB …
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Hi!
Are there plans for making a low precision inference mode like many other neural network frameworks out there?
Would be really helpful for embedded applications where we have very limited memory…
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Can you please tell me what does AI2 flag mean and how to turn it on? Thank you very much!
https://github.com/pjreddie/darknet/blob/master/src/convolutional_layer.c#L11
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Hi -
Thanks for providing a Tiny-xnor cfg to evaluate! Much appreciated.
We noticed that after training two networks with the exact same image dataset (using yolo-cpp-dll and a wrapper application)…
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@AlexeyAB
I have successfully trained the XNOR network for yolov2-tiny and reduced the weight file by more than 10x. The mAP is amazing too with a precision of 69.54 on a single class(person) from t…
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Thanks to the implement of XNOR by CUDA and pytorch, it really helps me. I'm now wondering if the implementation can really speed up the training process. After doing some experiment about MNIST, the …
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Hi，thanks for your excellent work, and I'm focused on the work for a period. I think the core is Gradient optimization. But still then I haven't reproduce your experiment. Could you provide a little a…
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Theoretically, It would feasible to use the same concepts for more complex architecyures like tacotron or deepspeech?
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installed cuda9.0 and cudnn7(cuda 9.0)
if I select cudnn =1, that will be compile error:
/examples/go.c:641:13: warning: ignoring return value of ‘scanf’, declared with attribute warn_unused_resul…