TU Wien:Applied Deep Learning VU (Pacha)

Daten

Vortragende	Horst Eidenberger• Alexander Pacha
ECTS	3
Letzte Abhaltung	2021W
Sprache	English
Mattermost	applied-deep-learning • Register • Mattermost-Infos
Links	tiss:194077, eLearning

Zuordnungen

Bachelorstudium Medizinische Informatik
Masterstudium Data Science
Masterstudium Data Science
Masterstudium Visual Computing
Katalog Freie Wahlfächer

Inhalt

2024WS:

The course covers the following topics:

• Introduction to Deep Learning
• Neural Networks, Optimization, and Backpropagation
• Convolutional Neural Networks and Visual Computing
• Recurrent Neural Networks
• Deep Reinforcement Learning
• Autoencoders and Deep Generative Models
• Transformers
• Preprocessing, Data Augmentation, Regularization, and Visualization
• Explainable AI
• Graph Neural Networks
• Large Language Models (LLMs)

Ablauf

2024WS:

• Lectures: Pre-recorded and uploaded to the ILEA platform.
• Q&A Sessions: Weekly live Zoom meetings for questions and discussions.
• Projects: Individual projects to be developed throughout the semester, with final presentations in the last two sessions.

Benötigte/Empfehlenswerte Vorkenntnisse

• No strict prerequisites since students choose their own projects based on their skill level. However, basic programming skills are highly recommended.

Vortrag

2024WS:

• Language: English
• Format: Pre-recorded lectures that can be watched at any time.
• One of the best aspects is that the lectures are recorded fresh every year, ensuring they are up-to-date with the latest deep learning advancements, rather than reusing outdated materials.
• Professor Pacha does a good job delivering the content with clear explanations, diagrams, and practical examples.

Übungen

2024WS:

• Every student chooses their own project and works on it throughout the semester, creating a small demo at the end.
• Three main submission deadlines:
  1. Project Proposal – Short description of the idea.
  2. Project Submission – Upload code to GitHub.
  3. Final Demo & Report – Record a short YouTube video of presenting your demo and submit a 5-page report.
• The last two sessions are dedicated to watching and discussing the final presentations.

Prüfung, Benotung

noch offen

Dauer der Zeugnisausstellung

2024WS: Grades were posted on 20.02.2025

Zeitaufwand

2024WS: I spent 61 hours in total. This includes working on the project and watching the weekly lectures. Grade obtained: 1

Unterlagen

noch offen

• Materialien

Tipps

Create a well-defined pipeline from the beginning to avoid last-minute struggles

Highlights / Lob

👏 No group work

👏 Up-to-date lectures – Content is refreshed yearly.

👏 Custom projects – You can work on something that truly interests you.

Verbesserungsvorschläge / Kritik

noch offen

Materialien

Neues Material hinzufügen

A

• Assignment 1 - Initiate.pdf (details)
• Assignment 2 - Hacking.pdf (details)
• Assignment 3 - Deliver.pdf (details)