The Fashion-MNIST dataset, which consists of 70,000 grayscale images of 10 fashion categories.
In this project, you will build a deep learning model to solve a problem of your choice. You will use Python libraries such as tensorflow, keras, and numpy to preprocess the data, build the model architecture, and train the model.