Training Process
Machine Learning · Further Education · Deep Learning
This unit introduces the training process for deep learning models, covering data preparation, model selection, optimization techniques, and evaluation strategies. Students will gain a comprehensive understanding of the training process and be able to apply it to their own deep learning projects.
Zum Üben gibt es 56 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Data Preprocessing
- Model Architecture
- Loss Functions
- Optimizers
- Regularization Techniques
- Performance Metrics
- Overfitting and Underfitting
- Hyperparameter Tuning
Stichworte
- Training Process
- Deep Learning Models
- Data Preparation
- Model Selection
- Optimization Techniques
- Evaluation Strategies
- Machine Learning