Jack-Cherish/Deep-Learning

:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割

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/ 100
Emerging

This project provides practical guides and code examples for applying deep learning to various image-related tasks. It helps you take raw images, such as handwritten digits, verification codes, or general photos, and process them to identify objects, classify content, or perform semantic segmentation. This is intended for anyone, especially students or self-learners, who wants to understand and implement deep learning solutions for real-world computer vision problems.

2,420 stars. No commits in the last 6 months.

Use this if you are an aspiring machine learning engineer or data scientist looking for hands-on experience with deep learning applications.

Not ideal if you are looking for a ready-to-use software solution or a theoretical deep dive without practical implementation.

image-recognition handwritten-digit-recognition captcha-solving waste-classification image-segmentation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

2,420

Forks

994

Language

Python

License

Last pushed

Nov 22, 2020

Commits (30d)

0

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