Advanced Deep Learning Architectures

Explores cutting-edge neural network designs including transformers, graph neural networks (GNNs), capsule networks, and attention-based models. Focuses on scalable, efficient architectures, model optimization, and applications across NLP, computer vision, and multimodal AI. Covers interpretability, robustness, and energy-efficient deployment, enabling high-performance AI systems suitable for both cloud and edge environments.

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