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My on-board network performance was terrible with post-training quantization in nntool. Since PyTorch does not support exporting a quantized model to onnx, I reimplemented my pipeline in TensorFlow fo…
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How should I add depthwise separable convolutions in darknet?
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Hi,
Could you let me know whether LIBXSMM supports depthwise convolutions?
I see convolutions and mlp/FC in sample directory, but couldn't find depthwise conv.
If not, is there any chance to ha…
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Hi,
According to the paper, while calculating α(l) Ml is the number of filters in layer. However in the implementation for [pointwise convolution](https://github.com/EkdeepSLubana/OrthoReg/blob/869…
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`snX`, aka Supernova Xception is an adaptation to the [Xception: Deep Learning with Depthwise Separable Convolutions](https://openaccess.thecvf.com/content_cvpr_2017/papers/Chollet_Xception_Deep_Learn…
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Currently the time efficiency for depthwise separable convolutions in tfjs is only as good as regular convolutions.
Depthwise separable convolutions need a lot less multiplication operations then r…
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I would like a `tf.nn.separable_conv3d` identical to `tf.nn.separable_conv2d` except with separability between dimentions [1,2,3] and 4, for use with 3D CNNs.
Rationale: separable convolutions perf…
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Most of keras is compatible with numpy / scipy.
It would be awesome ( and probably competitively fast at inference on cpu) if keras was available with a numpy/scipy backend.
This would help simp…
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@geohot we can get that speeeed!
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[Following a conversation](https://github.com/zaidalyafeai/zaidalyafeai.github.io/issues/3#issuecomment-412644346) with @zaidalyafeai, it might be a good idea to change the current pix2pix version to …