Differences between revisions 5 and 6
Revision 5 as of 2018-06-05 15:27:01
Size: 1308
Editor: SeulKiYeom
Comment:
Revision 6 as of 2018-06-05 15:30:00
Size: 1618
Editor: SeulKiYeom
Comment:
Deletions are marked like this. Additions are marked like this.
Line 23: Line 23:

(temporary) Advanced Workshop Lecture topics are:

Monday: Introduction to Deep Neural Network

Tuesday: Medical Imaging, ConvNet, Interpretation (1/2)

Wednesday: Medical Imaging, ConvNet, Interpretation (2/2)

Thursday: Quantum Chemstry, SchNet (1/2)

Friday: Quantum Chemstry, SchNet (2/2)

Advanced Workshop Machine Learning

Enrollment / Limited number of participants

If you intend to participate, please send an e-mail to lassner@tu-berlin.de with title "Advanced Workshop Enrollment" and this text:

Name: Your name
Matr.Nr: Your student ID (Matrikelnummer)
Degree: The degree you are enrolled in and want to use this course for.
TU student: Yes/No (Are you a enrolled as a regular student at TU Berlin?)
Other student: If you are not a regular student, please write your status.
ML1: Yes/No (Did you take the course Machine Learning 1 at TU Berlin?)
Other ML course: If you did not take ML1 at TU Berlin, please write if you took any equivalent course.

Participation spots are mostly assigned on a random basis. Please keep in mind that auditing students and Nebenhörer can only participate if less than the maximum number of regular TU students register for the course (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/).

(temporary) Advanced Workshop Lecture topics are:

Monday: Introduction to Deep Neural Network

Tuesday: Medical Imaging, ConvNet, Interpretation (1/2)

Wednesday: Medical Imaging, ConvNet, Interpretation (2/2)

Thursday: Quantum Chemstry, SchNet (1/2)

Friday: Quantum Chemstry, SchNet (2/2)

IDA Wiki: Main/WS18_AdvancedWorkshop (last edited 2018-09-05 14:21:07 by PhilippSeegerer)