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This repository has been archived by the owner on Apr 20, 2023. It is now read-only.

This repository contains the project of the lecture machine learning of the cooperative state university Stuttgart. The goal is to develop a convolutional neural network (CNN) for image processing. In this project a data set with different emotions of faces in the shape of 80x80 pixels will be trained.

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Super-T02/Maschnielles-Lernen

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Machine Learning

This repository contains the project of the lecture machine learning of the cooperative state university Stuttgart. The goal is to develop a convolutional neural network (CNN) for image processing. In this project a data set with different emotions of faces in the shape of 80x80 pixels will be trained. The data are from https://www.kaggle.com/datasets/kmirfan/micro-expressions.

File structure

|- archive: Old not updated prototype files (deprecated)
|- data: Contains the image data and the trained models
|- pictures: Screenshots of plots and models
convolutional-neural-network.ipynb: Notebook with the implementation of the model.
README.md: This readme file

Model

The model has following components: Picture of the Model

Used technologies

  • Python
  • Tensorflow
  • Matplotlib
  • Jupyter Notebook

About

This repository contains the project of the lecture machine learning of the cooperative state university Stuttgart. The goal is to develop a convolutional neural network (CNN) for image processing. In this project a data set with different emotions of faces in the shape of 80x80 pixels will be trained.

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