Humboldt Universitaet zu Berlin Faculty of Mathematics and Natural Sciences Department of Physics auf deutsch

Veranstaltungen mit geplanten Räumen finden i.a. in Präsenz statt.
Digitale Angebote sind optional.
winter sem. 2021
Last update: 21.04.22 14:17:52

WS 2022 SS 2022
WS 2021
WS 2020 SS 2021 Department of Physics
open chemistry

KVL / Klausuren / MAP 1st HS: 18.10 2nd HS: 13.12 sem.br.: 21.02 begin SS: 17.04

3.FS Phy \| B.Sc.-Mono \| PO2018 4.FS Phy \| B.Sc.-Mono \| PO2018 5.FS Phy \| B.Sc.-Mono \| PO2018 6.FS Phy \| B.Sc.-Mono \| PO2018 1.FS Phy \| M.Sc.-H \| PO2016 2.FS Phy \| M.Sc.-H \| PO2016 3.FS Phy \| M.Sc.-H \| PO2016 4.FS Phy \| M.Sc.-H \| PO2016	VL	Mon 11-13	weekly	NEW 14 1'02 (60)	Judith Katzy
	UE	Tue 9-11	14-day	NEW 14 0'05 (103)	Judith Katzy

Digital- & Präsenz-basierter Kurs

Aims: Understanding of Concepts and hands-on experience with simple problems
Requirements: python
Structure / topics / contents: Gliederung:
Basic Concepts
Boosted Decision Trees
Neural Networks
Autoencoders
Learning Algorithms
Advanced Concepts:
Adversarial learning, generative adversarial networks,
Assigned modules: P8g P22.g
Amount, credit points; Exam / major course assessment: 4 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
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