minhdang241 / classifying-images-of-common-clothing Goto Github PK
View Code? Open in Web Editor NEWThis project is to train a model to classify images from the MNIST Fashion Data Set using three models: a three-hidden layer neural net, a CNN, and **the state of the art** Wide Residual Network with 28 layers and widening factor of 10. This data set contains common items of clothing across 20 different categories. It contains around 60,000 training images, and 10,000 test images. The target goal of this project is a category, however, the input consists only of 26x26 images.