Classification is a supervised learning method for predicting a class label for a given example of input data. Although we introduced classification with MNIST, we work through the famous Fashion-MNIST dataset to delve deeper into the topic.
Fashion-MNIST is intended as a direct replacement for MNIST to better benchmark machine learning algorithms. It shares the same image size and structure of training and test splits, but is a more challenging classification problem.
MNIST benchmarking has several associated problems. It’s far too easy for standard machine learning algorithms to achieve ...
