Model Evaluation
Data Science · Further Education · Deep Learning
This unit introduces the fundamental concepts of model evaluation in deep learning. Students will learn how to measure the performance of deep learning models using various metrics and gain insights into model behavior.
Zum Üben gibt es 51 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Accuracy
- Precision
- Recall
- and F1-score
- Confusion Matrices and ROC Curves
- Overfitting and Underfitting
- Hyperparameter Tuning for Model Evaluation
- Case Studies in Model Evaluation
Stichworte
- F1-score
- Confusion Matrix
- ROC Curve
- AUC
- Overfitting
- Underfitting
- Hyperparameter Tuning