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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
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