Fashion Image Classifier using Pytorch
Objective : To build a multi class classifier that categorizes fashion clothing items from the Fashion MNIST Dataset.
About the dataset : Has 10 classes(e.g. dress,bag) containing grayscale images(28x28 pixels)
Different Convolutional Neural Networks were used to classify the dataset, AlexNet, LeNet, CNN with 3 layers and ResNet.