『Aggregated Residual Transformations for Deep Neural Networks』论文笔记 - 代码天地

『Aggregated Residual Transformations for Deep Neural Networks』论文笔记

其他 2019-02-20 15:01:29 阅读次数: 0

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转载自blog.csdn.net/weixin_34406796/article/details/87221515

『Aggregated Residual Transformations for Deep Neural Networks』论文笔记

Aggregated Residual Transformations for Deep Neural Networks

ResNeXt : Aggregated Residual Transformations for Deep Neural Networks

ResNeXt - Aggregated Residual Transformations for Deep Neural Networks

ResNeXt：Aggregated Residual Transformations for Deep Neural Networks

《2017-Aggregated Residual Transformations for Deep Neural Networks》论文阅读

【论文阅读】Aggregated Residual Transformations for Deep Neural Networks Saining（ResNext）

Aggregated Residual Transformations for DeepNeural Networks -ResNetXt2017【论文理解】

解密ResNet：Identity Mappings in Deep Residual Networks论文笔记

Understanding Neural Networks Through Deep Visualization 论文笔记

Channel Pruning for Accelerating Very Deep Neural Networks 论文笔记

How transferable are features in deep neural networks? 论文笔记

论文笔记《ImageNet Classification with Deep Convolutional Neural Networks》

论文笔记：Deep neural networks for YouTube recommendations

《Channel Pruning for Accelerating Very Deep Neural Networks》论文笔记

Deep Neural Networks for YouTube Recommendations 论文笔记

论文笔记：Deep Residual Network

深度学习论文笔记：Deep Residual Networks with Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction论文笔记

DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING 论文笔记

Deep Residual Learning for Image Recognition 论文笔记

《ResNet-Deep Residual Learning for Image Recognition》论文笔记

论文笔记：Deep Residual Learning for Image Recognition

论文笔记-Loop Closure Detection for Visual SLAM Systems Using Deep Neural Networks

论文笔记：分形网络（FractalNet: Ultra-Deep Neural Networks without Residuals）

BinaryConnect: Training Deep Neural Networks with binary weights during propagations 论文笔记

论文笔记-IGCV3：Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

论文笔记--AlexNet--ImageNet Classification with Deep Convolutional Neural Networks

论文笔记 Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus

分形网络结构——FractalNet: Ultra-Deep Neural Networks without Residuals论文笔记

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