【CS231n笔记】00 课程相关信息

CS231n: Convolutional Neural Networks for Visual Recognition (winter 2016)

Course Instructor: Fei-Fei Li, Andrej Karpathy, Justin Johnson

Stanford University

website: http://vision.stanford.edu/teaching/cs231n/index.html

课程笔记:

Lecture01: Introduction
http://blog.csdn.net/binlearning/article/details/52045705 
Lecture02: Image Classification pipeline
http://blog.csdn.net/binlearning/article/details/52081327
Lecture03: Loss functions and Optimization
http://blog.csdn.net/binlearning/article/details/53792300
Lecture04: Backpropagation and Neural Networks part 1
http://blog.csdn.net/binlearning/article/details/53870822
Lecture05: Training Neural Networks, Part 1
http://blog.csdn.net/binlearning/article/details/53899475
Lecture06: Training Neural Networks, Part 2
http://blog.csdn.net/binlearning/article/details/71436819
Lecture07: Convolutional Neural Networks
http://blog.csdn.net/binlearning/article/details/71436944
Lecture08: Spatial Localization and Detection
http://blog.csdn.net/binlearning/article/details/71437056
Lecture09: Understanding and Visualizing Convolutional Neural Networks

Lecture10: Recurrent Neural Networks

Lecture11: CNNs in Practice

Lecture12: Software Packages Caffe/Torch/Theano/TensorFlow

Lecture13: Segmentation and Attention

Lecture14: Videos Unsupervised Learning