fashion-mnist-dataset
There are 124 repositories under fashion-mnist-dataset topic.
Machine-Learning-For-Data-Mining
This repository consists of Lab Assignments for course Machine Learning for Data Mining.
zalando-fashion-mnist
My solution for "Zalando's Fashion MNIST" challenge on dockerized Jupyter Notebook.
FASHION-MNIST-CLASSIFICATION-PROBLEM
Repo for Classification problem for FASHION-MNIST dataset
Clothes_Type_Classification
Image Classification using modified AlexNet and VGG11
PCA_Project
A short two-part project that uses PCA (along with GMM in task 2); first with the fashion-NMIST dataset and then with fetch_lfw_people
Autoencoder-and-Variational-Autoencoder-Exploration-with-Fashion-MNIST
This project implements and compares Autoencoders (AEs) and Variational Autoencoders (VAEs) using the Fashion MNIST dataset. The project is ideal for those seeking to understand and apply deep learning techniques in unsupervised learning.
OPT-project-MAADM-UPM
Creación de un agente para un torneo del DPI (Dilema del Prisionero Iterado). Asignatura de "Optimización exacta y aproximada" de máster de la UPM.
FASHION_MNIST_CLASSIFIER
This project implements a neural network to classify fashion items from the Fashion MNIST dataset using Keras and TensorFlow. The web app allows users to upload images and receive predictions on the type of fashion item, such as shirts, trousers, and more.
Machine-Learning
This is a basic program that uses Fashion MNIST to train itself.
Human-Body-Semantic-Segmentation-Dataset-MD-Image-005-
This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.
Cognitive-Computing-final-project
Exploration of various ML models and techniques for cognitive computing tasks. The primary focus is analysing hidden representations and the effectiveness in classifying data
Fashion-GAN
Build a GAN for the fashion industry
tensorflow
Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.
Fashion-MNIST-Dataset-Classification-using-Neural-Network
Implementation of a Multi-layer Perceptron classifier with hyperparameter tuning and k-fold cross-validation employing GridSearchCV for classifying images on the Fashion MNIST dataset 👗👚👖
Deep-Learning-CNN-vs-RNN
This repository contains a Jupyter Notebook that compares the performance of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures for image classification tasks using the Fashion MNIST dataset. The notebook explores the process of training CNN and RNN models
python-deep_learning
Repository with deep learning examples. Please feel invited to contribute to the repository.
Manual-CNN
CNN for Fashion Mnist
Fashion_mnsit
A ANN Model is developed to classify the various fashion clothing items based of their images. A MNIST-like fashion product database.
Fashion-MNIST-Modeling-Comparision
Use 2 different models and compare their performance on the Fashion-MNIST Dataset.
Auto_Encoders
AutoEncoders -TF -Keras - Fashion_MNIST
Fashion-MNIST-Classification-using-Dense-Neural-Network
Fashion-MNIST-Classification-using-Dense-Neural-Network addresses a classification problem on the Fashion MNIST dataset. With 60K training and 10K test samples of 28x28 grayscale images, the dataset spans 10 classes. Leveraging Keras, this project explores Dense Neural Networks using both Sequential and Functional APIs for efficient classification.
Fashion-MNIST-Classification
Fashion MNIST is intended as a drop-in replacement for the classic MNIST dataset—often used as the "Hello, World" of machine learning programs for computer vision. The MNIST dataset contains images of handwritten digits (0, 1, 2, etc.) in a format identical to that of the articles of clothing you'll use here.
deep-neural-network-from-scratch
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).
vogue_insight
Experimental project that utilises a multi-class classification model to predict and categorise MNIST's fashion dataset
Fashion-Dataset-Images-Western-Shirts
Fashion Dataset Images of Western Shirts
Fashion-Dataset-Images-Western-Dress
Fashion Dataset Images of Western Dress
Fashion-Dataset-Images-Trouser
Fashion Dataset Images of Trouser
Fashion-Dataset-Images-Tights
Fashion Dataset Images of Tights
Fashion-Dataset-Images-Shalwar
Fashion Dataset Images of Shalwar
Fashion-Dataset-Images-Plazoo
Fashion Dataset Images of Plazoo
Fashion-Dataset-Images-Pants
Fashion Dataset Images of Pants
Fashion-Dataset-Images-Eastern-Shirts
Fashion Dataset Images of Eastern Shirts
Fashion-Dataset-Images-Eastern-Dress
Fashion Dataset Images of Eastern Dress