深度学习的技术路径与哲学审视
Technical Path and Philosophical Review of Deep Learning

作为人工智能领域的核心技术之一，深度学习在近年来的研究和应用层面都取得了显著进展。本文从技术演进、学习范式对深度学习进行哲学角度审视。首先梳理深度学习的发展脉络，然后深入讨论了深度学习的学习范式，探索了深度学习面临的现实问题。深度学习作为一种强大的机器学习方法，引发了许多哲学问题的关注与思考。通过对有关深度学习哲学思考的文献进行梳理，思考如何使用哲学对深度学习技术进行指导，同时反思深度学习技术又如何影响现代哲学。
As one of the core technologies in the field of artificial intelligence, deep learning has made significant progress in research and application in recent years. This paper aims to examine deep learning from the perspective of technology evolution and learning paradigm. Firstly, the development of deep learning is sorted out, then the learning paradigm of deep learning is discussed, and the practical problems faced by deep learning are explored. As a powerful machine learning method, deep learning has aroused the attention and thinking of many philosophical issues. By combing the literature on philosophical thinking of deep learning, this paper considers how to use philosophy to guide deep learning technology and reflects on how deep learning technology affects modern philosophy.