浅谈《Visualizing and Understanding Convolutional Networks》

时间 2021-01-04

标签 NLP 机器学习神经网络繁體版

原文原文链接

内容简介：此文是Matthew D. Zeiler在2014年发表在ECCV上的文章，当时基于CNN 的模型已经初露峥嵘，表现不俗，但探究不深，对于CNN为何取得如此好的效果以及如何改进网络结构没有明确的答案，这也正是该文重点研究分析的两个问题。作者通过反卷积手段实现可视化，通过可视化来分析每层的特征以及特征如何随模型训练而发生变化等，从而更好地改进模型结构。文章内容

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1. Visualizing and Understanding Convolutional Networks
2. ZFNet: Visualizing and Understanding Convolutional Networks
3. Visualizing and Understanding Convolutional Networks笔记
4. Understanding and Visualizing Convolutional Neural Networks
5. 对《Visualizing and Understanding Convolutional Networks》理解
6. 《Visualizing and Understanding Convolutional Networks》阅读理解
7. 【论文翻译】Visualizing and Understanding Convolutional Networks
8. 论文笔记Visualizing and understanding convolutional networks
9. [ZFNet论文阅读] Visualizing and Understanding Convolutional Networks
10. 论文笔记：Visualizing and Understanding Convolutional Networks
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1. Visualizing and Understanding Convolutional Networks
2. ZFNet: Visualizing and Understanding Convolutional Networks
3. Visualizing and Understanding Convolutional Networks笔记
4. Understanding and Visualizing Convolutional Neural Networks
5. 对《Visualizing and Understanding Convolutional Networks》理解
6. 《Visualizing and Understanding Convolutional Networks》阅读理解
7. 【论文翻译】Visualizing and Understanding Convolutional Networks
8. 论文笔记Visualizing and understanding convolutional networks
9. [ZFNet论文阅读] Visualizing and Understanding Convolutional Networks
10. 论文笔记：Visualizing and Understanding Convolutional Networks

>>更多相关文章<<