How to use Fashion-MNIST dataset in Google Cloud Machine Learning / AI Platform?
Monday, 21 October 2024 by Mirek Hermut
Fashion-MNIST is a dataset of Zalando's article images, consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28×28 grayscale image, associated with a label from 10 classes. The dataset serves as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms,
What is the purpose of using the Fashion MNIST dataset in training a computer to recognize objects?
Saturday, 05 August 2023 by EITCA Academy
The purpose of using the Fashion MNIST dataset in training a computer to recognize objects is to provide a standardized and widely accepted benchmark for evaluating the performance of machine learning algorithms and models in the field of computer vision. This dataset serves as a replacement for the traditional MNIST dataset, which consists of handwritten
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Introduction to TensorFlow, Basic computer vision with ML, Examination review
Tagged under: Artificial Intelligence, Benchmark, Computer Vision, Dataset, Fashion MNIST, Machine Learning