== Block-Seminar "Hot Topics in Machine Learning: Deep Learning" ==

=== Termine und Informationen ===

||'''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 ||
||'''Verantwortlich'''|| Prof. Dr. Klaus-Robert Müller ||
||'''Dozent:''' || Dr. Wojciech Samek (wojciech.samek@hhi.fraunhofer.de)  ||
||'''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:
 * '''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]]