| Seminare.EIM: Introduction to Deep Learning (DSBS, CSMS, IIWMS, TMBS, IMPICS) |
| DozentIn:Dr. rer. nat. Pradeep Banerjee |
| Veranstaltungstyp:Seminar (Lehre) |
| Beschreibung:Deep Learning is one of the most vibrant areas of modern machine learning, offering one of the most promising routes to advancing Artificial Intelligence (AI). Deep Learning systems are reshaping the AI landscape across various fields, including language comprehension, speech and image recognition, and autonomous driving. This seminar covers deep neural networks basics and their applications in various AI tasks. We will explore several key paradigms related to expressivity, optimization and generalization properties of modern deep learning systems. Students will gain proficiency in Deep Learning, enabling them to apply it to different scenarios and comprehend current literature in the field. |
| Ort:nicht angegeben |
| Semester:SoSe 24 |
Zeiten:Di. 11:30 - 13:00 (wöchentlich)
Erster Termin:Dienstag, 09.04.2024 11:30 - 13:00 |
| Weitere Informationen: |
Heimatinstitut: Studiendekanat Elektrotechnik, Informatik und Mathematik (E)
beteiligte Institute: Institut für Data Science Foundations (E-21)
In Stud.IP angemeldete Teilnehmer: 9
Anzahl der Dokumente im Stud.IP-Downloadbereich: 5
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Institute of Wastewater Management and Water Protection
