Halfish/cs231n

斯坦福 cs231n 作业代码实践

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This project provides practical code implementations for assignments from Stanford's CS231n course, "Convolutional Neural Networks for Visual Recognition." It helps students and self-learners solidify their understanding of visual recognition concepts by working through the actual problem sets. Users input theoretical knowledge from the course and receive working code examples and a deeper practical grasp of the subject.

662 stars. No commits in the last 6 months.

Use this if you are a student or self-learner taking the Stanford CS231n course and want to practice coding the assignments for visual recognition.

Not ideal if you are looking for an up-to-date, current version of the assignments, as these implementations are from 2016.

computer-vision deep-learning neural-networks visual-recognition academic-assignments
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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662

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224

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Last pushed

Dec 10, 2022

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