392117 Vertiefung Maschinelles Lernen (V) (WiSe 2023/2024)

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Erste Vorlesung am Donnerstag, 19.10.2023

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Aufbauend auf dem Grundlagen-Modul "Neuronale Netze und Lernen", welches die grundlegende Theorie des maschinellen Lernens sowie einige grundlegende Ansätze behandelt hat, werden in diesem Modul thematische Vertiefungen zu folgenden Themenfeldern behandelt: Repräsentationen, Transformer-Architekturen für Sequenzen, Generative Modelle (Autoregressiv und GAN), Neuronaler Computer, Reinforcement-Lernverfahren, Ausgewählte Theorieaspekte, Learning to Learn (Meta-L, One/Few-Shot-L), Ausblick und aktuelle Trends.

Building on lecture "Neuronale Netze und Lernen" this module offers advanced methods in these topic areas: representations, sequence-to-sequence transformer architectures, generative models (autoregressive and GAN), neural computer, reinforcement learning methods, selected theory aspects, learning-to-learn (meta-L,one/few-shot L), outlook and current trends.

Bibliography

Ian Goodfellow, Yoshua Begio, Aaron Courville: Deep Learning, Springer
Bishop, Ch., "Pattern Recognition and Machine Learning", Springer
Sutton & Barto, "Reinforcement Learning: An Introduction", MIT Press
& weiterführende Literatur in den Themenkapiteln

External comments page

http://www.zfl.uni-bielefeld.de/studium/module/techfak/msc_isy/#vertiefung_maschinelles_lernen

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Subject assignments

Module Course Requirements  
39-M-Inf-AI-adv-foc_ver1 Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Vorlesung Graded examination
Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence Basics of Artificial Intelligence: Lecture Student information
- Ungraded examination Student information
39-M-Inf-VML Advanced Machine Learning Vertiefung Maschinelles Lernen Advanced machine learning Student information

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WS2023_392117@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, December 4, 2023 
Last update times:
Friday, August 11, 2023 
Last update rooms:
Friday, August 11, 2023 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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426073026