Collection of projects of four different Deep Learning areas for Deep Learning Application exam
| Title | Dataset | Description | Status |
|---|---|---|---|
| Working with Deep Models | MNIST, CIFAR-10 | Image classification using residual CNNs, Object localization and Class Activation Maps | ✅ |
| Natural Language Processing | SWAG, RACE | Hands-on introduction to GPT, 🤗 for text generation, classification and Multiple Choice Question Answering (MCQA) | ✅ |
| Reinforcement Learning | ⌛ | ||
| Adversarial Training | CIFAR-10, CIFAR-100 | OOD Detection, Adversarial-augmented training | ✅ |