Jack-Cherish/Deep-Learning
A Chinese deep learning tutorial repository with practical implementations of semantic segmentation, handwritten digit recognition, and classification models.
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This repository contains a series of deep learning tutorials and practice projects implemented in Python using PyTorch and TensorFlow. It covers foundational ML tasks including handwritten digit recognition, captcha recognition, garbage classification, and semantic segmentation. The content serves as educational material with accompanying blog posts and video tutorials distributed through Chinese social platforms.
Frequently asked
- What is Jack-Cherish/Deep-Learning?
- A Chinese deep learning tutorial repository with practical implementations of semantic segmentation, handwritten digit recognition, and classification models.
- Is Deep-Learning open source?
- Yes — Jack-Cherish/Deep-Learning is an open-source project tracked on heatdrop.
- What language is Deep-Learning written in?
- Jack-Cherish/Deep-Learning is primarily written in Python.
- How popular is Deep-Learning?
- Jack-Cherish/Deep-Learning has 2.4k stars on GitHub.
- Where can I find Deep-Learning?
- Jack-Cherish/Deep-Learning is on GitHub at https://github.com/Jack-Cherish/Deep-Learning.