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Hi,
In the XNOR-Net paper, the author claims the speed up while running the inference. However, I try the codes provided here with MNIST and CIFAR10. On both datasets, the fixed-point mode takes lo…
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Hi, ayush.
I have trained this model for several days. But what I got just is:
Running Evaluation on testset
Num examples: 6500 Num correct: 26 Precision @ 1: 0.0040 (3479.218 sec)
Running Ev…
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Is it just a proof of concept for the accuracy?
It's not even using bitwise ops to get the 58x speedup and 32x less memory...
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(perhaps this is a better place to ask than https://github.com/1adrianb/bnn.torch/issues/2? Sorry for the duplicate!)
Firstly, thank you so much for releasing your code, it helps a lot in understan…
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1. MSVS2015, Win7sp1, OpenCV2.4.9,Cuda v8.0
2. while compiling, the error list is as the following:
3. Did it caused by the Cuda? do I need delecte the Cuda and install again?
Cheers!
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Is this implementation reference on this paper?
http://pjreddie.com/media/files/papers/xnor.pdf
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Hi,I have a problem with your version of xnor net.
after training the cifar10_xnor net,the memory and the final size of the caffemodel just are about the same with the cifar10_full_net, could you giv…
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Thanks for your work.
I'm also interested in this topic, what version of XNOR did you use in this comparison? Can you give me some more details, thanks.
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madeye/yolo-android: Quantized Tiny Yolo Demo on Android
https://github.com/madeye/yolo-android
Analytical Guarantees on Numerical Precision of Deep Neural Networks
http://proceedings.mlr.press/v…
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Dear Developer,
I tried to use your code to reproduce the result. However, I keep meeting this TensorType convert issue. I was wandering whether it's because the the Theano changed something?
Af…