Ai theo pubs

人工智能历史上一些重要的学术论文以及原文链接,供参考:

• 神经网络与机器学习,Neural Networks and Machine Learning, Christopher M. Bishop, 1998.
• 统计学习理论，Statistical Learning Theory, Vladimir Vapnik, 1998.
• Stochastic Gradient Descent, Léon Bottou, 2010.
• 生成式对抗网络 Generative Adversarial Networks, Ian Goodfellow et al., 2014.
• 注意力机制 Attention Is All You Need, Ashish Vaswani et al., 2017.
• BERT语言表示模型|BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Jacob Devlin et al., 2018.
• AlphaGo Zero|Mastering the game of Go without human knowledge, Silver et al., 2017.
• DALL-E图像生成|Zero-Shot Text-to-Image Generation, Aditya Ramesh et al., 2021.

人工智能书籍列表:

• (人工智能:一种现代的方法) (Artificial Intelligence: A Modern Approach), Stuart Russell and Peter Norvig, 1995
• (机器学习) (Machine Learning), Tom Mitchell, 1997
• (模式分类) (Pattern Classification), Richard O. Duda, 2001
• (Gaussian过程) (Gaussian Processes for Machine Learning), Carl Edward Rasmussen and Christopher K. I. Williams, 2006
• (推理的概率逻辑) (Probabilistic Graphical Models: Principles and Techniques), Daphne Koller and Nir Friedman, 2009
• (深度学习) (Deep Learning), Ian Goodfellow and Yoshua Bengio and Aaron Courville, 2016
• (手把手教你构建自己的自然语言处理系统) (Natural Language Processing with PyTorch), Delip Rao and Brian McMahan, 2019
• (计算机视觉:算法与应用) (Computer Vision: Algorithms and Applications), Richard Szeliski, 2010
• 复旦最新《大规模语言模型·从理论到实践》，理论+代码

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