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http://machinethink.net/blog/compressing-deep-neural-nets/
## ------- before 12 Aug 2018 -------
- SqueezeNet, see [tutorial_squeezenet.py](https://github.com/zsdonghao/tensorlayer/blob/maste…
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How did you get the FLOPs about DoReFa-Net, 4694M? What is the calculating rule?
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My use case: I develop a custom quantizer class, which derives from *larq.quantizers.BaseQuantizer* and which is then used like any other pre-defined quantizer. The custom quantizer defines a *build()…
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I tested the `cifar_train_eval.py` with resenet20, lenet5 configuration. And I discovered that after the weights are quantized if activations are further quantized as well, the accuracy drops severely…
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Is it equipped with gradient quantization? Just wondering. Thanks.
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**Describe the bug**
I don't know why it quit training, did n' t report any mistakes.
**using Parameters:**
-m train --dataset cifar100 --config configs/binarization/resnet18_imagenet_bin_dorefa.…
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This is the draft plan for the upcoming iteration in Oct ~ Nov, it's a 4 weeks iteration.
## Release Plan for v2.0
- Release manager: @liuzhe-lz
- Feature freeze date: ~11.20~ ~11.27~ 11.30
- Co…
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If I quantize the last layer, the validation is dropped, how to correct it?
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Hi, do you consider gradient quantization in your implementation?
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https://arxiv.org/abs/1606.06160
20/04/17