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Have there been any attempts at implementing in training quantization, like that in "Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1" usin…
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In the file named ''tensorlayer\activation.py'',there is a function called "sign". The code called "gradient_override_map({"sign": "QuantizeGrad"}):" which i have bolded may be a small error. It shoul…
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### Issue summary
Recent developments have shown good results of Binarized Neural Networks, which are a new kind of CNN that works with binary weights instead of the typical 32-bit floats (refer to […
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How to implement grdients like paper :[Binarized Neural Networks](https://arxiv.org/abs/1602.02830)?
 same as BinaryNet ?
both paper writes their CIFA…
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# Merge
~~embedded_ai/2017-08-07.md at bi-weekly-2017-08-07 · PerfXLab/embedded_ai
https://github.com/PerfXLab/embedded_ai/blob/bi-weekly-2017-08-07/bi-weekly-reports/2017-08-07.md~~
# Comp…
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I read the paper "Binarized Neural Networks". It's a very nice paper. But it's hard for me to find the g_{a_k}