@masterthesis{Dexl2018, type = {Bachelor Thesis}, author = {Dexl, Jakob Frederik}, title = {Mapping of natural learning processes for the development of neural network architectures - Implementation and comparison of approaches in the classification of radiological data sets}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:860-opus4-521}, school = {Hochschule f{\"u}r Angewandte Wissenschaften Landshut}, pages = {76}, year = {2018}, abstract = {In order to provide more transparency on convolutional neural networks (CNN) for education and research purposes this work has three main objectives: • Create CNN models based on two different architectures, which classify magnetic resonance images of the brain into normal and abnormal • Investigate these models by applying state of the art visualization techniques. For this purpose, a simple accessible Application Interface (API) for Keras sequential models will be developed. • Describe the quality of the models based on the visualizations and compare their overall classification to the human classification procedure.}, subject = {Neuronales Netz}, language = {en} }