[论文笔记]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

时间 2020-12-25

标签场景识别深度学习人工智能繁體版

原文原文链接

摘要：贡献：提出了一种新的方法，Relay Backpropagation,使得有效信息可以在训练阶段被传播，此方法获得了ILSVRC 2015 Scene Classification 挑战的第一名。一.介绍随着近年来卷积神经网络CNN的应用，在许多计算机视觉任务中获得了巨大的突破；与此同时，网络深度的重要性也被揭露出来了，比如VGG16比AlexNet有更深的网络

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1. Learning Convolutional Neural Networks for Graphs论文笔记
2. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
3. Neural Networks: Learning: Backpropagation intuition
4. 【Fast Algorithms for Convolutional Neural Networks】论文笔记
5. Deep Learning 1: Foundations of Convolutional Neural Networks
6. Machine Learning & Deep Learning 论文阅读笔记
7. End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human
8. 论文笔记：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
9. 论文阅读笔记（一）：Learning Dual Convolutional Neural Networks for Low-Level Vision
10. 论文笔记《DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for 》

>>更多相关文章<<