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Captain1986 / Captainblackboard

Licence: mit
船长关于机器学习、计算机视觉和工程技术的总结和分享

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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

D#0002-hack_your_printf

D#0003-optimizing_cosine_distance_searching_in_a_million_feature-set

D#0004-depthwise_separable_convolutions_in_mobilenet

D#0005-separable_convolutions_in_image_processing

D#0006-protect_my_function

D#0007-compile_git_commit_sha1_into_elf

D#0008-拉格朗日乘子法

D#0009-SVM

D#0010-从线性回归到对率回归到Softmax激活函数

D#0011-kNN

D#0012-为什么选交叉熵作为分类问题的损失函数

D#0013-深度学习调参常用方法总结

D#0014-数据降维常用方法总结(LDA,PCA)

D#0015-深度学习常用损失函数

D#0016-深度学习中不平衡样本的处理

D#0017-MTCNN和FaceBoxes

D#0019-DeepID1,DeepID2,DeepID2+和DeepID3

D#0020-Batch-Normalization层原理与分析

D#0021-机器学习中的过拟合及其解决办法

D#0023-CNN模型计算量估计

D#0024-CNN模型内存访问估计

D#0025-CNN中使用卷积代替全连接

D#0026-深度学习检测小目标常用方法

D#0027-聊聊2017 ImageNet夺冠的SENet

D#0028-再聊SENet的孪生兄弟SKNet

D#0029-CV中的注意力机制

D#0030-类MTCNN的360RIP人脸检测器PCN

D#0031-知识蒸馏Knowledge-Distillation

D#0032-CNN可视化之类激活热力图Grad-CAM

D#0033-一些分类网络的训练技巧

D#0034-火箭发射:阿里巴巴的轻量网络训练方法

D#0035-2KW短视频打标问题之Activate-Learning

D#0036-2KW短视频打标问题之Multi-Modal-Machine-Learning

D#0037-CentralNet做多模态融合

D#0038-Multi-View-Active-Learning做视频推荐

D#0039-用FCN做分割

D#0040-用U-Net做分割

D#0041-用RefineNet做分割

D#0042-用DeepLabv3+的Encoder-Decoder做分割

D#0043-用HRNet做分割

D#0044-用Network-Slimming做模型加速和压缩

D#0045-Stacked-Hourglass-Network-for-Human-Pose-Estimation

D#0046-Anchor-Free第一篇CornerNet-Detecting-Objects-as-Paired-Keypoints

D#0047-Anchor-Free第二篇CornerNet的变种ExtremeNet

D#0048-Anchor-Free第三篇Objects-as-Points

D#0049-Anchor-Free第四篇CenterNet-Keypoint-Triplets-for-Object-Detection

关于Issues

Issues里面我记录了一些自己要写的内容清单,写完一个就Close一个

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