November 4, 2019 Bachelor Thesis Open Access

Heine, Greta Sophie

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{
  "abstract": "<p>This thesis enhances the understanding of Neural Network (NN) trainings by<br>\ninvestigation of the learning process especially focusing on the dependence<br>\nof the NN output on the input space for given tasks. For this purpose, the<br>\nNN function is decomposed into a Taylor expansion. The Taylor coefficients<br>\nserve as a metric to illustrate the influence of input space features on the<br>\noutput at each step of the training. Both, the arithmetic mean values of the<br>\nTaylor coefficients and their dependence on each point of the input space are<br>\ninvestigated, giving new insights into the decision taking of NNs.</p>", 
  "author": [
    {
      "family": "Heine, Greta Sophie"
    }
  ], 
  "id": "21984", 
  "issued": {
    "date-parts": [
      [
        2019, 
        11, 
        4
      ]
    ]
  }, 
  "language": "eng", 
  "title": "Illustration of the Neural Network Learning Process during Training", 
  "type": "thesis"
}