gigug / DL

Final Project from the course "Deep Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in Python using PyTorch.

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Meta-Learning methods - An Overview

Final Project from the course "Deep Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in Python using PyTorch.

General Info

Meta-Learning allows for machines to "Learn to learn". This project is an overview of several Meta-Learning approaches found on modern papers.

The pdf report explains the details and the findings.

The Python program applies an SNN, Siamese Neural Network, to the Omniglot's dataset, for one-shot learning.

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Final Project from the course "Deep Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in Python using PyTorch.


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