CS231n Convolutional Neural Networks for Visual Recognition

Table of Contents: Architecture Overview ConvNet Layers Convolutional Layer Pooling Layer Normalization Layer Fully-Connected Layer Converting Fully-Connected Layers to Convolutional Layers ConvNet Architectures Layer Patterns Layer Sizing Patterns Case Studies (LeNet / AlexNet / ZFNet / GoogLeNet / VGGNet) Computational Considerations Additional References Convolutional Neural Networks (CNNs / Co

[speg03]

AlexNetの論文は入力224x224なのに、実装例は227x227なのなんでか説明があった。 "My own best guess is that Alex used zero-padding of 3 extra pixels that he does not mention in the paper."

[natsutan]

これ読まないと

[tokuryoo]

Stanford大学の講義資料。