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| ||'''Erster Termin für Themenvergabe'''|| Freitag, 17.04.2015, 10am-12pm in MAR 4.033 || ||'''Termin für Vorträge'''|| Freitag, 26.06.2015, 9am-3pm in MAR 4.033 || |
||'''Erster Termin für Themenvergabe'''|| TBA || ||'''Termin für Vorträge'''|| TBA || |
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| ||'''Dozent:''' || Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de) || | ||'''Dozent:''' || [[mailto:p.kindermans@tu-berlin.de | Pieter-Jan Kindermans]] || |
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| * '''Deep Learning Overview''' * '''Deep Learning vs. Shallow Learning''' * '''How to train a DNNs (trips & tricks)''' * '''Understanding / Interpreting DNNs''' * '''DL in image classification''' * '''DL for object detection''' * '''DL in speech recognition''' * '''DL in text analysis''' * '''DL in video analysis''' * '''DL in fMRI analysis''' * '''Deep Boltzmann Machines''' * '''Recurrent Nets''' Reading material can be found here [[attachment:reading_material.pdf]] |
Block-Seminar "Hot Topics in Machine Learning: Deep Learning"
Termine und Informationen
Erster Termin für Themenvergabe |
TBA |
Termin für Vorträge |
TBA |
Verantwortlich |
Prof. Dr. Klaus-Robert Müller |
Dozent: |
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Sprache |
Englisch |
Anrechenbarkeit |
Wahlpflicht LV im Modul Maschinelles Lernen II (Informatik M.Sc.) |
This seminar takes a closer look at a very hot topic in machine learning: Deep Learning.
Students will read, understand, evaluate and present selected research papers on deep learning. At the end of the semester, each student will present his/her topic in a 25 min talk (+ 5 min questions) in English.
The topics of the seminar are: