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原文:从Inception v1到Inception-ResNet,一文概览Inception家族的「奋斗史」- 2018.05.30出处:机器之心 - ...
原文:Inception深度网络家族盘点 | Inception v4 和Inception-ResNet未来走向何方 ?作者:David 9的博客 - ...
1. Inception-ResNet V1 网络结构Figure 7 中的,k=192, l=192, m=256, n=3842. Inception...
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Lear...
Rethinking the Inception Architecture for Computer Vision1. 卷积网络结构的设计原则(princ...
Batch Normalization: Accelerating Deep Network Training by Reducing Internal ...
GoogleNet - Going deeper with convolutions - 2014GoogleNet,即 Inception V1 网络结...
ResNetV1 - Deep Residual Learning for Image Recognition - 2015ResNetV2 - Iden...
在 CNN 网络中会采用 1x1 卷积核对 features 进行降维和升维. 原始图像为 HxWx3,RGB 3 个通道. CNN 网络层输出的 fe...
题目:Xception: Deep Learning with Depthwise Separable Convolutions - CVPR2017 作...