stanford-cs231 and cs231n

stanford-cs231

Established

cs231n

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 24/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 25/25

Stars: 263

Forks: 117

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 662

Forks: 224

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About stanford-cs231

machinelearningnanodegree/stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

This project provides a curated set of resources to help you learn about Convolutional Neural Networks for visual recognition. It brings together course materials like lectures, assignments, and notes from Stanford's CS231n, along with supplementary blogs and articles. It's for students enrolled in Udacity's Machine Learning Engineer Nanodegree or anyone looking to deepen their understanding of how computers 'see' and interpret images.

machine-learning-education computer-vision deep-learning neural-networks academic-study

About cs231n

Halfish/cs231n

斯坦福 cs231n 作业代码实践

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.

computer-vision deep-learning neural-networks visual-recognition academic-assignments

Related comparisons

stanford-cs231 and CS231n-2017-Summary stanford-cs231 and CS231n-2017 stanford-cs231 and CS231n stanford-cs231 and computer-vision stanford-cs231 and CS231 stanford-cs231 and cs231n

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