Deep Learning and Neural Networks

  1. Advanced Topics and Specialized Architectures
    1. Graph Neural Networks
      1. Graph Representation Learning
        1. Graph Convolutional Networks
          1. Graph Attention Networks
            1. Applications in Social Networks
            2. Neural Architecture Search
              1. Automated Architecture Design
                1. Search Strategies
                  1. Performance Estimation
                  2. Meta-Learning
                    1. Learning to Learn
                      1. Few-Shot Learning
                        1. Model-Agnostic Meta-Learning
                        2. Continual Learning
                          1. Catastrophic Forgetting
                            1. Lifelong Learning Strategies
                              1. Memory-Based Approaches
                              2. Federated Learning
                                1. Distributed Training
                                  1. Privacy-Preserving Learning
                                    1. Communication Efficiency
                                    2. Interpretability and Explainability
                                      1. Model Interpretability Methods
                                        1. Attention Visualization
                                          1. Gradient-Based Explanations
                                            1. LIME and SHAP

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                                          9. Deep Reinforcement Learning

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                                          11. Deployment and Production