MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
This web app classifies clothing items from the Fashion MNIST dataset using a neural network that I trained. Users can explore random images from the test set or upload their own images for classification.
a repo for classifying mnist fashion dataset with cnn on pytorch
In this project, I built a Fashion Recognizer model with CNN on the MNIST Fashion dataset.
Train a simple CNN on the Fashion MNIST dataset using Tensorflow Keras.
Generate new images with a generative adversial network and the MNIST fashion dataset as input.
Examples for during the Summer Course ML/AI 101 organised by Codecentric
Simple CNN trained on MNIST-fashion dataset
This repository contains my solutions for various projects assigned in my university’s Artificial Intelligence course. The projects cover a wide range of AI topics and techniques, providing practical applications of AI theories learned in class.
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