Month 13: Advanced Topics in Deep Learning

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