[AI Boostcamp Day 19] Ensemble and Training Tools
Ensemble
- Combining multiple models for better performance
- Voting
- Hard Voting
- Soft Voting
- Cross Validation
- The fold should be adequate for training when spliting
- Stratified K-Fold Cross Validation
- Test Time Augumentation Ensemble
- Infer different augmentated photos with a train model
- get multiple result -> Ensemble
- Hyperparameter Tuning: grid search -> too much resource
Experiment Toolkits & Tips
Peer Session
What did I Do Today
- Asked people to train model for each task
- Validated the models other people made
- Combined the result and submitted
- Discussed and merged other functions
Reflections
- Overall great!