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[P] Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

Hi, I’m Myeongjun Kim. My major is Computer Vision using deep learning. “MixNet: Mixed Depthwise Convolutional Kernels” paper has been uploaded to the archive on 22 july 2019. This paper improves performance and efficiency by changing kernel size. I have implemented pytorch version with reference to official code implemented with tensorflow. Currently I’m experimenting with CIFAR-10 because of the lack of gpu.

Thank you for reading my story 🙂

[Github URL]: https://github.com/leaderj1001/Mixed-Depthwise-Convolutional-Kernels

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.