Classification on fashion-mnist dataset using keras

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. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine …

AutoEncoders -TF -Keras - Fashion_MNIST

testing Deep Neural Network accuracy on MNIST Clothing dataset

This GitHub repository contains an implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for image generation. With this project, you can generate stunning and realistic images using the power of deep learning.

Experimental project that utilises a multi-class classification model to predict and categorise MNIST's fashion dataset

This repository consists of Lab Assignments for course Machine Learning for Data Mining.

This repository contains all the projects completed as part of the Machine Learning course.

Fashion Dataset Images of Western Dress

Image Classification using Convolutional Neural Networks (CNN)!

👕Image Classifier on Fashionmnist🩳 dataset using custom keras model with 5 hidden dense layers.👟

Fashion Dataset Images of Dupatta

Implementation of DNN with Early Stopping from scratch in Python. Evaluation was done on two simple datasets (Blobs and Moons) and on one more challenging dataset (Fashion-MNIST).

Personal practice about image classification applied to Fashion Mnist dataset.

Classifying iris and fashion-mnist datasets using different algorithms.

Image-Classification-with-CNN-on-Fashion-MNIST-dataset

Explained how a Convolution Neural Network (CNN) works on image recognition. Used R to tune a CNN on the fashion version of mnist dataset.