other · elib (German Aerospace Center) · 2019

Tutorium "Hyperparameter Optimization"

Debus, Charlotte, Rüttgers, Alexander

Cited by 0Abstract and details only

Abstract

Part I: Theory\n- Train / development / test sets\n- Regularization techniques (dropout, L1/L2-regularization)\n- Optimization algorithms \n- Batch normalization\n- Grid search vs. random search vs. Bayesian optimization vs. gradient-based optimization vs. evolutionary optimization\n\nPart II: Hands-on "Hyperparameter Optimization for Improving Neural Networks "\n- Optimization of Jupyter notebooks using the Talos library for Keras\n- Good practice guidelines for hyperparameter tuning.

Cite this paper

APA 7

Debus, C., & Rüttgers, A. (2019). Tutorium "Hyperparameter Optimization". elib (German Aerospace Center).

MLA 9

Debus, Charlotte, and Alexander Rüttgers. “Tutorium "Hyperparameter Optimization".” elib (German Aerospace Center), 2019.

Chicago

Debus, Charlotte, and Alexander Rüttgers. 2019. “Tutorium "Hyperparameter Optimization".” elib (German Aerospace Center).

Harvard

Debus, C. and Rüttgers, A. (2019) ‘Tutorium "Hyperparameter Optimization"’, elib (German Aerospace Center).

BibTeX

@misc{debus2019tutorium,
  title = {{Tutorium "Hyperparameter Optimization"}},
  author = {Debus, Charlotte and Rüttgers, Alexander},
  journal = {elib (German Aerospace Center)},
  year = {2019}
}

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