rickiepark/Generative_Deep_Learning_2nd_Edition
<만들면서 배우는 생성 AI 2판>의 코드 저장소
This resource provides practical code examples for building various generative AI models. It takes conceptual knowledge from a textbook and translates it into runnable Python notebooks, demonstrating how different generative deep learning techniques work. This is for AI/ML practitioners and students who want to apply theoretical generative AI concepts by running and experimenting with code.
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Use this if you are studying generative AI and want to see how models like VAEs, GANs, and Diffusion Models are implemented and used with real code examples.
Not ideal if you are looking for a plug-and-play generative AI application or a library to integrate into an existing system without needing to understand the underlying model code.
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Jupyter Notebook
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Apache-2.0
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Jul 29, 2025
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