Sophia-11/DeepLearningNotes
《深度学习》花书手推笔记
This collection offers detailed, handwritten notes that break down the complex concepts of deep learning, based on a well-known textbook. It provides a structured overview of machine learning fundamentals, core deep neural network knowledge, and cutting-edge research topics. Students, researchers, and engineers who are learning or applying deep learning techniques will find these notes helpful for understanding the underlying mathematics and theories.
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Use this if you are studying or working with deep learning and need comprehensive, manually derived explanations of key concepts, from basic linear algebra to advanced generative models.
Not ideal if you are looking for executable code examples or a ready-to-use deep learning framework.
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Jul 11, 2020
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