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This repository hosts the programming exercises for the course "Machine Learning" of AUEB Informatics.

License: MIT License

TeX 5.71% Jupyter Notebook 94.29%
machine-learning image-classification image-segmentation clustering supervised-learning gradient-ascent expectation-maximization-algorithm feed-forward-neural-networks unsupervised-machine-learning cifar-10

machine_learning-aueb's Introduction

Machine_Learning-AUEB

The current project is implemented in the context of the course "Machine Learning" at the Department of Informatics, AUEB. Its objective is to introduce students to key Machine Learning algorithms, including vanilla Feedforward Neural Networks for supervised learning and Expectation-Maximization algorithm for unsupervised learning, all implemented from scratch using solely NumPy.

1st Assignment: Feedforward Neural Network for Image Classification

  1. Project Description
  2. Jupyter Notebook
  3. Report

2nd Assignment: Expectation-Maximization Algorithm for Image Segmentation

  1. Project Description
  2. Jupyter Notebook
  3. Report

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