floodsung/Deep-Learning-Papers-Reading-Roadmap

Organizes landmark deep learning papers into a progressive curriculum structured by foundational concepts (DBNs, CNNs, RNNs), application domains (vision, speech), and research frontiers, with curated selections from seminal works like AlexNet and ResNet through cutting-edge methods. The roadmap follows a pedagogical progression from historical breakthroughs to state-of-the-art papers, enabling learners to build foundational knowledge before diving into specialized optimization techniques, architectural innovations, and domain-specific applications. Each entry includes direct PDF links, publication venues, and importance ratings to guide self-directed study across computer vision, speech recognition, and emerging deep learning methodologies.

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