[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 🙂
Thank you !!