The Multilinear Structure of ReLU Networks
两种非常常见的非线性单元：rectified linear units (ReLUs) 和 leaky ReLUs 我们选取binary hinge loss进行二分类 对于多分类，我们可以定义multiclass hinge loss 定义Ω为网络的参数空间， L(ω)为loss。 由于我们选了ReLU非线性单元作为loss, 那么L(ω)是分片线性的。对于参数空间，我们可以将其进行一个
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相关文章
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- 7. Exploring the teaching of deep learning in neural networks
- 8. On the Number of Linear Regions of Deep Neural Networks
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- 10. JDK1.8 The Java® Virtual Machine Specification《2.The Structure of the Java Virtual Mach》（3）