Skip to content
/ DL Public

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

Notifications You must be signed in to change notification settings

gigug/DL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published