hank891008/Deep-Learning
NYCU 深度學習與實驗 Deep Learning Spring 2024
This repository contains practical examples and assignments for understanding deep learning concepts and their applications. It demonstrates how to implement techniques like backpropagation, image classification, semantic segmentation, and generative models from scratch. The content is designed for students or researchers studying deep learning to gain hands-on experience with core algorithms.
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Use this if you are a student or educator looking for practical deep learning lab materials and example implementations.
Not ideal if you are looking for a plug-and-play solution for an existing deep learning problem or a production-ready model.
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Jun 26, 2024
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