Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks

It is a deep learning project where we are building Capsule neural network for Traffic Sign Detection using German Traffic Sign Recognition Benchmark Dataset (GTSRBD) in PyTorch, But I have Already Built the model, so all you need to do is train and configure the model using this GTSRB Dataset. It hardly takes 2 hours, and also I have a reference code if you want but it is done using MNIST dataset. I am attaching the link to the paper published for this topic. Link: https://arxiv.org/abs/1805.04424v1