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斯坦福面向视觉识别的卷积神经网络视频教程带课件字幕

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发表于 2018-12-28 10:09:32 | 显示全部楼层 |阅读模式

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课程名称: 斯坦福面向视觉识别的卷积神经网络视频教程带课件字幕

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课程简介:   

机器学习翻来覆去,其实就是那么些算法,这门课,主要是讲在视觉识别领域,如何使用这些算法进行识别和调优。从最简单的KNN到神经网络以及卷积神经等。说白了,如果这些算法已经掌握的很牛逼了,那么我感觉,高手们学习这门课大概也就几个小时的时间,就可以吃透了。

课程目录:  
├─ppt
│  ├─winter1516_lecture1.pdf
│  ├─winter1516_lecture10.pdf
│  ├─winter1516_lecture11.pdf
│  ├─winter1516_lecture12.pdf
│  ├─winter1516_lecture13.pdf
│  ├─winter1516_lecture14.pdf
│  ├─winter1516_lecture15.pdf
│  ├─winter1516_lecture2.pdf
│  ├─winter1516_lecture3.pdf
│  ├─winter1516_lecture4.pdf
│  ├─winter1516_lecture5.pdf
│  ├─winter1516_lecture6.pdf
│  ├─winter1516_lecture7.pdf
│  ├─winter1516_lecture8.pdf
│  ├─winter1516_lecture9.pdf
├─video
│  ├─CS231n Winter 2016 - Lecture 1-NfnWJUyUJYU.en.srt
│  ├─CS231n Winter 2016 - Lecture 1-NfnWJUyUJYU.mp4
│  ├─CS231n Winter 2016 - Lecture 11 - ConvNets in practice-pA4BsUK3oP4.mp4
│  ├─CS231n Winter 2016 - Lecture 11 - ConvNets in practice-pA4BsUK3oP4.srt
│  ├─CS231n Winter 2016 - Lecture 2-8inugqHkfvE.mp4
│  ├─CS231n Winter 2016 - Lecture 2-8inugqHkfvE.srt
│  ├─CS231n Winter 2016 - Lecture 3-qlLChbHhbg4.en.srt
│  ├─CS231n Winter 2016 - Lecture 3-qlLChbHhbg4.mp4
│  ├─CS231n Winter 2016 - Lecture 5 - Neural Networks Part 2-gYpoJMlgyXA.en.srt
│  ├─CS231n Winter 2016 - Lecture 5 - Neural Networks Part 2-gYpoJMlgyXA.mp4
│  ├─CS231n Winter 2016 - Lecture 6 - Neural Networks Part 3 _ Intro to ConvNets-hd_KFJ5ktUc.en.srt
│  ├─CS231n Winter 2016 - Lecture 6 - Neural Networks Part 3 _ Intro to ConvNets-hd_KFJ5ktUc.mp4
│  ├─CS231n Winter 2016 - Lecture 7 - Convolutional Neural Networks-LxfUGhug-iQ.mp4
│  ├─CS231n Winter 2016 - Lecture 8 - Localization and Detection-GxZrEKZfW2o.en.srt
│  ├─CS231n Winter 2016 - Lecture 8 - Localization and Detection-GxZrEKZfW2o.f137.mp4
│  ├─CS231n Winter 2016- Lecture 10- Recurrent Neural Networks, Image Captioning, LSTM (HD).mp4
│  ├─CS231n Winter 2016- Lecture 10- Recurrent Neural Networks, Image Captioning, LSTM.srt
│  ├─CS231n Winter 2016- Lecture 12- Deep Learning libraries (HD).mp4
│  ├─CS231n Winter 2016- Lecture 13- Segmentation, soft attention, spatial transformers (HD).mp4
│  ├─CS231n Winter 2016- Lecture 13- Segmentation, soft attention, spatial transformers.srt
│  ├─CS231n Winter 2016- Lecture 14- Videos and Unsupervised Learning.mp4
│  ├─CS231n Winter 2016- Lecture 14- Videos and Unsupervised Learning.srt
│  ├─CS231n Winter 2016- Lecture 14- Videos and Unsupervised Learning_new.mp4
│  ├─CS231n Winter 2016- Lecture 15- Invited Talk by Jeff Dean (HD).mp4
│  ├─CS231n Winter 2016- Lecture 15- Invited Talk by Jeff Dean.srt
│  ├─CS231n Winter 2016- Lecture 4- Backpropagation, Neural Networks 1.mp4
│  ├─CS231n Winter 2016- Lecture 4- Backpropagation, Neural Networks 1.srt
│  ├─CS231n Winter 2016- Lecture 8- Localization and Detection.srt
│  ├─CS231n Winter 2016- Lecture 9- Visualization, Deep Dream, Neural Style, Adversarial Examples (HD).mp4



上一篇:小象学院-王昊奋-知识图谱实战 视频+课件+代码+数据
下一篇:人工智能机器学习全新升级版I视频教程
发表于 2019-1-13 02:07:35 | 显示全部楼层
感谢楼主分享哇!
发表于 2019-1-13 09:27:36 | 显示全部楼层
带字幕看看
发表于 2019-6-13 10:35:10 | 显示全部楼层
确实是难得好帖啊,顶先
发表于 2019-10-13 23:18:06 | 显示全部楼层
啥也不说了,感谢楼主分享哇!
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