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Document type:
Masterarbeit
Author(s):
Martin Meinel
Title:
Efficient Implementation of Deep Convolutional Gaussian Processes
Translated title:
Effiziente Implementierung von Deep Convolutional Gaussian Processess
Abstract:
Convolutional Neural Networks are used to obtain state of the art results in the field of image classification. However, they also come with certain drawbacks, such as their vulnerability to adversarial attacks and lacking uncertainty estimation. These drawbacks can be tackled by making use of Bayesian inference, which is the main concept underlying Gaussian Processes for making predictions. A Gaussian Process is a distribution over functions defined by its mean and its covariance or kernel func...     »
Supervisor:
Christian B. Mendl
Advisor:
Felix Dietrich
Year:
2020
Quarter:
4. Quartal
Year / month:
2020-10
Month:
Oct
Language:
en
University:
Technical University of Munich
Faculty:
Fakultät für Informatik
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