This article demonstrates how we can implement a deep learning model with ShuffleNet architecture to classify images of CIFAR-10 dataset. Here, we define a Convolutional Neural Network (CNN) model using Torch to train this model. We will test the model to check the reduction in computational cost and obtain accuracy.

The post Complete Guide To ShuffleNet V1 With Implementation In Multiclass Image Classification appeared first on Analytics India Magazine.