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DeepLearning-500-questions

AI learning

Deep Learning 500 Questions is a Chinese deep learning knowledge base organized in a question-and-answer format, covering topics such as probability knowledge, linear algebra, machine learning, deep learning, computer vision, and more. The project originates from the GitHub repository scutan90/DeepLearning-500-questions. The book is divided into 18 chapters and contains more than 500,000 characters, aiming to help readers organize and review related knowledge points. Its content was later compiled into the book "Deep Learning 500 Questions - AI Engineer Interview Guide," with Tan Jiyong as editor-in-chief and Guo Zizhao, Li Jian, and Dian Songyi as associate editors. The book has 14 chapters in total. The material also provides a JD.com sales link. It is suitable for reference by university teachers and students, junior and intermediate researchers, engineering and technical personnel, and candidates preparing for interviews.

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