The repository presents an organized curriculum of deep learning papers organized by four principles: from outline to detail, old to state-of-the-art, generic to specific, and focus on recent advances. It covers foundational works like the 2015 Nature deep learning survey by LeCun et al., the original DBN papers by Hinton, AlexNet, and progresses through modern architectures including transformers and generative models. It also includes references to the canonical Deep Learning textbook by Goodfellow et al.