Build a Deep Learning Based Image Classifier with R

This guided project will teach you how to use Keras to R with Tensorflow backend to solve an image classification issue. It lasts 45 minutes. You will be able to use the R programming language to create, train, and then evaluate a neural network model that can classify clothing images into categories like t-shirts and trousers. The Fashion MNIST dataset contains 70000 grayscale images representing 10 categories of clothes. We will train the deep learning-based image classification model. This project requires you to be familiar with R programming and basic neural networks in order to succeed. This course is best for those who live in the North America region. We are currently working to offer the same experience in other areas.