BaCNNinit

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Comparative Study on CNN Initialization

Supervision: Shadi Albarqouni

Abstract

Tasks:

  • Compare recent literatures on CNN initialization

Requirements:

  • Good understanding of statistics and machine learning methods.
  • Very good programming skills in C++/Python

Location:

  • FMI Building, Garching

Literature

[1] Krähenbühl, Philipp, et al. "Data-dependent initializations of convolutional neural networks." arXiv preprint arXiv:1511.06856 (2015).
[2] Mishkin, Dmytro, and Jiri Matas. "All you need is a good init." arXiv preprint arXiv:1511.06422 (2015).

ProjectForm
Title: Comparative Study on CNN Initialization
Abstract:  
Student: Michael Wengler
Director: Prof. Nassir Navab
Supervisor: Shadi Albarqouni
Type: Bachelor Thesis
Area:  
Status: finished
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 14 Nov 2016 - 15:27 - ShadiAlbarqouni