
Month 13: Advanced Topics in Deep Learning
Week 1: Advanced Convolutional Neural Networks (CNNs)
- DenseNet
- ResNeXt
- EfficientNet
- Self-Attention Networks
Week 2: Advanced Recurrent Neural Networks (RNNs)
- Gated Recurrent Units (GRUs)
- Attention Mechanisms
- Transformer Networks
- BERT and GPT
Week 3: Reinforcement Learning in Deep Learning
- Introduction to Reinforcement Learning
- Policy Gradients
- Actor-Critic Methods
- Deep Reinforcement Learning for Games
Week 4: Interpretability and Explainability in Deep Learning
- Introduction to Model Interpretability
- Local and Global Interpretability Methods
- Adversarial Examples and Interpretability
- Ethics and Interpretability