Novel Deep Learning Model for Traffic Sign Detection using Capsule networks -- 3
Budget: $10 – $30 USD
NOVEL DEEP LEARNING MODEL FOR
TRAFFIC SIGN DETECTION USING CAPSULE NETWORKS, You have to write PyTorch code to train and configure a deep neural network model which is already built by me, for traffic sign detection using capsule networks using the German Traffic Sign Recognition Benchmark dataset
(GTSRB). 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
TRAFFIC SIGN DETECTION USING CAPSULE NETWORKS, You have to write PyTorch code to train and configure a deep neural network model which is already built by me, for traffic sign detection using capsule networks using the German Traffic Sign Recognition Benchmark dataset
(GTSRB). 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