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[P] Implementing Attention Augmented Convolutional Networks using Pytorch

Hi, I’m Myeongjun Kim. I’m currently taking a master’s course. My major is computer vision using deep learning. This is the second reddit posting. I’ve implemented the paper “Attention Augmented Convolutional Networks written by Google Brain” as a Pytorch. Already implemented in the paper as Tensorflow, I changed it to Pytorch.
I am currently conducting an experiment in a simple layer(3 convolution layers) and will further conduct an experiment on ResNet in paper. (CIFAR-100)

Thank you so much for reading the long story. Any feedback is welcome 🙂

Github URL: https://github.com/leaderj1001/Attention-Augmented-Conv2d

Thank you !!

submitted by /u/leaderj1001
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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.