Fashion-MNIST is a dataset created by Zalando Research as a drop-in replacement for MNIST. It consists of 70,000 grayscale images (28×28 pixels) categorized into 10 different classes of clothing, such as shirts, sneakers, and coats. Your mission? Train a model to classify these fashion items correctly!
Fashion-MNIST Dataset Visualization
Hey there, data enthusiasts! Today, we're diving into the fascinating world of Machine Learning Classification using one of the most iconic datasets out there - the MNIST dataset. MNIST stands for Modified National Institute of Standards and Technology.
We're diving into the realm of MNIST - a dataset that's like a treasure map for budding data scientists. It contains thousands of handwritten digits from 0 to 9. Each image is a snapshot of someone's attempt to scribble a number, and our mission is to make sense of these.