Lecture 9 | CNN Architectures - Stanford University School of Engineering - 深度學習 Deep Learning 公開課 - Cupoy
In Lecture 9 we discuss some common architectures for convolutional neural networks. We discuss arch...
In Lecture 9 we discuss some common architectures for convolutional neural networks. We discuss architectures which performed well in the ImageNet challenges, including AlexNet, VGGNet, GoogLeNet, and ResNet, as well as other interesting models.
Keywords: AlexNet, VGGNet, GoogLeNet, ResNet, Network in Network, Wide ResNet, ResNeXT, Stochastic Depth, DenseNet, FractalNet, SqueezeNet
Slides: http://cs231n.stanford.edu/slides/201...
