论文《On the Number of Linear Regions of Deep Neural Networks》翻译
目录 1. 摘要 2. 前馈网络的组成及其特性 2.1 定义 2.2 浅层网络 2.3 深层网络 2.4 将输入标识为空间折叠 2.5 稳定的摄动 2.6 整流器MLP中折痕的经验评估 3. 深层RELU网络 3.1 框架结构 3.2 结果描述 4. 深层Maxout网络 5. 结论 1. 摘要 我们研究了具有分段线性激活的深度前馈神经网络函数的复杂性，包括它们的对称性和线性区域的数量。深度网络能
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相关文章
- 1. On the Number of Linear Regions of Deep Neural Networks
- 2. [论文翻译]Reducing the Dimensionality of Data with Neural Networks
- 3. CV：翻译并解读2019《A Survey of the Recent Architectures of Deep Convolutional Neural Networks》
- 4. 论文--阅读翻译笔记-Reducing the Dimensionality of Data with Neural Networks
- 5. Exploring the teaching of deep learning in neural networks
- 6. Deep Neural Networks for Object Detection论文翻译
- 7. ICLR2014_Intriguing properties of neural networks
- 8. Xavier——Understanding the difficulty of training deep feedforward neural networks
- 9. The Unreasonable Effectiveness of Recurrent Neural Networks
- 10. [论文笔记] [2010] Understanding the Difficulty of Training Deep Feedforward Neural Networks