MLP-for-Fashion-Mnist documentation

MLP model (Numpy only) for fashion-mnist dataset

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 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct for the original for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.

Github

This project is solution to this problem using only numpy to build and evaluate MLP model

The source code is available here.

• Mnist module
• MLP Numpy Module

Index

This documentation was last updated on Nov 05, 2019.