Final Presentation
NYU K12 STEM Education: Machine Learning (Day 9)
Final Project
- Task: CIFAR10 classification.
- Simplification: No validation. You can directly tune your network based on the test set accuracy.
- Friday: Present your model performance.
- Each team should present for 12-15 minutes.
Presentation Template
- Slide 1: Title and introduction
- Slide 2: Introduce your project: dataset, labels, etc…
- Slide 3: Your network architecture
- Slide 4: Other hyper-parameters, e.g.
- optimizer, learning-rate
- batch size, epochs
- data augmentation, transformation
- Slide 5: Model performance on training set (loss) and test set
- Training loss
- Test accuracy total
- Test accuracy for each class
- Slide 6: Challenges and how you resolve them.
- Slide 7: Conclusion