文件名称：李飞飞2017计算机视觉与神经网络notes
文件大小：106.93MB
文件格式：ZIP
更新时间：2021-02-18 09:33:57
计算机视觉 卷积神经网络
李飞飞2017计算机视觉与神经网络notes，全部课程讲义打包
【文件预览】：
2017FEIFEInotes
----Lecture 1()
--------cs231n_2017_lecture1.pdf(16.2MB)
--------Course Introduction.txt(66B)
----Lecture 8()
--------cs231n_2017_lecture8.pdf(4.51MB)
--------Deep Learning Software.txt(55B)
----Lecture 7()
--------Training Neural Networks, part II.txt(63B)
--------cs231n_2017_lecture7.pdf(2.73MB)
----Lecture 13()
--------Generative Models.txt(75B)
--------cs231n_2017_lecture13.pdf(4.29MB)
----Lecture 5()
--------ConvNet notes.pdf(1.51MB)
--------cs231n_2017_lecture5.pdf(10.38MB)
--------Convolutional Neural Networks.txt(61B)
----Lecture 14()
--------cs231n_2017_lecture14.pdf(1.64MB)
--------Deep Reinforcement Learning.txt(61B)
----Lecture 4()
--------derivatives notes.pdf(201KB)
--------Efficient BackProp.pdf(500KB)
--------Introduction to Neural Networks.txt(64B)
--------cs231n_2017_lecture4.pdf(2.62MB)
--------backprop notes.pdf(866KB)
--------linear backprop example.pdf(191KB)
----Lecture 2()
--------cs231n_2017_lecture2.pdf(5.3MB)
--------Linear classification I.pdf(1.46MB)
--------image classification notes.pdf(1.74MB)
--------Image Classification.txt(81B)
--------Python Numpy Tutorial.pdf(3.15MB)
----Lecture 10()
--------cs231n_2017_lecture10.pdf(5.62MB)
--------Recurrent Neural Networks.txt(99B)
----Lecture 12()
--------Visualizing and Understanding.txt(91B)
--------cs231n_2017_lecture12.pdf(15.79MB)
----Lecture 11()
--------Detection and Segmentation.txt(66B)
--------cs231n_2017_lecture11.pdf(7.18MB)
----Lecture 3()
--------linear classification notes.pdf(1.46MB)
--------Loss Functions and Optimization.txt(115B)
--------cs231n_2017_lecture3.pdf(4.63MB)
--------optimization notes.pdf(1.21MB)
----Lecture 15()
--------cs231n_2017_lecture15.pdf(8MB)
--------Invited Talk Song Han.txt(50B)
----Lecture 16()
--------Invited Talk Ian Goodfellow.txt(47B)
--------cs231n_2017_lecture16.pdf(4.75MB)
----Lecture 6()
--------Neural Nets notes 1.pdf(974KB)
--------Stochastic Gradient Descent Tricks.pdf(419KB)
--------deep learning-nature.pdf(1.99MB)
--------Neural Nets notes 2.pdf(1.34MB)
--------Neural Nets notes 3.pdf(1.64MB)
--------Training Neural Networks, part I.txt(68B)
--------cs231n_2017_lecture6.pdf(3.04MB)
----Lecture 9()
--------CNN Architectures.txt(38B)
--------cs231n_2017_lecture9.pdf(2.34MB)