ZFNet: Visualizing and Understanding Convolutional Networks
目录 论文结构 反卷积 ZFnet的创新点主要是在信号的“恢复”上面，什么样的输入会导致类似的输出，通过这个我们可以了解神经元对输入的敏感程度，比如这个神经元对图片的某一个位置很敏感，就像人的鼻子对气味敏感，于是我们也可以借此来探究这个网络各层次的功能，也能帮助我们改进网络。 论文结构 input: \(3 \times 224 \times 224\), filter size: 7, filt
相关文章
- 1. ZFNet: Visualizing and Understanding Convolutional Networks
- 2. [ZFNet论文阅读] Visualizing and Understanding Convolutional Networks
- 3. Visualizing and Understanding Convolutional Networks
- 4. 浅谈《Visualizing and Understanding Convolutional Networks》
- 5. Visualizing and Understanding Convolutional Networks笔记
- 6. Understanding and Visualizing Convolutional Neural Networks
- 7. 图像文章阅读2-ZFNet-Visualizing and Understanding Convolutional Networks
- 8. Visualizing and Understanding convolutional Networks(ZFNet)论文阅读笔记
- 9. 对《Visualizing and Understanding Convolutional Networks》理解
- 10. 《Visualizing and Understanding Convolutional Networks》阅读理解
- 更多相关文章...
- • W3C RDF and OWL 活动 - W3C 教程
- • XSL-FO table-and-caption 对象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法总结-股票买卖
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. ZFNet: Visualizing and Understanding Convolutional Networks
- 2. [ZFNet论文阅读] Visualizing and Understanding Convolutional Networks
- 3. Visualizing and Understanding Convolutional Networks
- 4. 浅谈《Visualizing and Understanding Convolutional Networks》
- 5. Visualizing and Understanding Convolutional Networks笔记
- 6. Understanding and Visualizing Convolutional Neural Networks
- 7. 图像文章阅读2-ZFNet-Visualizing and Understanding Convolutional Networks
- 8. Visualizing and Understanding convolutional Networks(ZFNet)论文阅读笔记
- 9. 对《Visualizing and Understanding Convolutional Networks》理解
- 10. 《Visualizing and Understanding Convolutional Networks》阅读理解