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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
船长关于机器学习、计算机视觉和工程技术的总结和分享
| Date | Stars |
|---|---|
| 2026-07-24 | 1264 |
| 2026-07-25 | 1264 |
| 2026-07-28 | 1265 |
| 2026-07-30 | 1265 |
| 2026-08-06 | 1265 |
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# 船长黑板报 本黑板报专门记录一些船长在工作学习中的一些心得体会 欢迎各路朋友提Pull Request，或者拍砖、改错别字都欢迎～ ## 招聘 本人所在阿里淘系技术部常年招数据挖掘/CV/NLP人才，社招校招实习P5~P9欢迎准备好简历找我**内推**，[email protected] ## 目录（注：列且仅列已经完成的，点击可直达） [D#0001-undefined_reference_to_XXX](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230001-undefined_reference_to_XXX/D%230001.md) [D#0002-hack_your_printf](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230002-hack_your_printf/D%230002.md) [D#0003-optimizing_cosine_distance_searching_in_a_million_feature-set](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230003-optimizing_cosine_distance_searching_in_a_million_feature-set/D%230003.md) [D#0004-depthwise_separable_convolutions_in_mobilenet](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230004-depthwise_separable_convolutions_in_mobilenet/D%230004.md) [D#0005-separable_convolutions_in_image_processing](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230005-separable_convolutions_in_image_processing/D%230005.md) [D#0006-protect_my_function](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230006-protect_my_function/D%230006.md) [D#0007-compile_git_commit_sha1_into_elf](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230007-compile_git_commit_sha1_into_elf/D%230007.md) [D#0008-拉格朗日乘子法](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230008-%E6%8B%89%E6%A0%BC%E6%9C%97%E6%97%A5%E4%B9%98%E5%AD%90%E6%B3%95/D%230008.md) [D#0009-SVM](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230009-SVM/D%230009.md) [D#0010-从线性回归到对率回归到Softmax激活函数](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230010-%E4%BB%8E%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E5%88%B0%E5%AF%B9%E7%8E%87%E5%9B%9E%E5%BD%92%E5%88%B0Softmax%E6%BF%80%E6%B4%BB%E5%87%BD%E6%95%B0/D%230010.md) [D#0011-kNN](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230011-kNN/D%230011.md) [D#0012-为什么选交叉熵作为分类问题的损失函数](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230012-%E4%B8%BA%E4%BB%80%E4%B9%88%E9%80%89%E4%BA%A4%E5%8F%89%E7%86%B5%E4%BD%9C%E4%B8%BA%E5%88%86%E7%B1%BB%E9%97%AE%E9%A2%98%E7%9A%84%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0/D%230012.md) [D#0013-深度学习调参常用方法总结](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230013-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E8%B0%83%E5%8F%82%E5%B8%B8%E7%94%A8%E6%96%B9%E6%B3%95%E6%80%BB%E7%BB%93/D%230013.md) [D#0014-数据降维常用方法总结(LDA,PCA)](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230014-%E6%95%B0%E6%8D%AE%E9%99%8D%E7%BB%B4%E5%B8%B8%E7%94%A8%E6%96%B9%E6%B3%95%E6%80%BB%E7%BB%93(LDA%2CPCA)/D%230014.md) [D#0015-深度学习常用损失函数](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230015-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E5%B8%B8%E7%94%A8%E6%8D%9F%E5%A4%B1%E5%87%BD%E6%95%B0/D%230015.md) [D#0016-深度学习中不平衡样本的处理](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230016-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%AD%E4%B8%8D%E5%B9%B3%E8%A1%A1%E6%A0%B7%E6%9C%AC%E7%9A%84%E5%A4%84%E7%90%86/D%230016.md) [D#0017-MTCNN和FaceBoxes](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230017-MTCNN%E5%92%8CFaceBoxes/D%230017.md) [D#0019-DeepID1,DeepID2,DeepID2+和DeepID3](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230019-DeepID1%2CDeepID2%2CDeepID2%2B%E5%92%8CDeepID3/D%230019.md) [D#0020-Batch-Normalization层原理与分析](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230020-Batch-Normalization%E5%B1%82%E5%8E%9F%E7%90%86%E4%B8%8E%E5%88%86%E6%9E%90/D%230020.md) [D#0021-机器学习中的过拟合及其解决办法](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230021-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%AD%E7%9A%84%E8%BF%87%E6%8B%9F%E5%90%88%E5%8F%8A%E5%85%B6%E8%A7%A3%E5%86%B3%E5%8A%9E%E6%B3%95/D%230021.md) [D#0023-CNN模型计算量估计](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230023-CNN%E6%A8%A1%E5%9E%8B%E8%AE%A1%E7%AE%97%E9%87%8F%E4%BC%B0%E8%AE%A1/D%230023.md) [D#0024-CN
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