MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
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Updated
Dec 24, 2021 - Python
MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)
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.
Simple deployment for Flask web apps using TensorFlowServing and Docker, tailored for fashion classification models.
Examples for during the Summer Course ML/AI 101 organised by Codecentric
Classify images of clothing
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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