论文解析-《Understanding the difficulty of training deep feedforward neural networks》
这篇论文详细解析了深度网络中参数xavier初始化方法，这里做一下读书笔记，同时记录一下自己的理解。 1 引言 经典前馈神经网络其实很早就有了（Remelhart et al.,1986），近年来对深度监督神经网络的一些成果只不过在初始化和训练方法跟以前有点区别，可是为什么能够取得这么好的结果？部分原因可能是使用非监督训练方法来初始化网络，使得网络整体处于一个比较好的优化状态。但是更早的一些研究(
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相关文章
- 1. Xavier——Understanding the difficulty of training deep feedforward neural networks
- 2. 【Deep Learning】笔记：Understanding the difficulty of training deep feedforward neural networks
- 3. Paper之DL之BP：《Understanding the difficulty of training deep feedforward neural networks》
- 4. [论文笔记] [2010] Understanding the Difficulty of Training Deep Feedforward Neural Networks
- 5. On the difficulty of training Recurrent Neural Networks
- 6. 神经网络不同激活函数比较--读《Understanding the difficulty of training deep feedforward neural networks》
- 7. 神经网络剖析激活函数优缺点（Undetanding the difficulty of training deep feedforward neural networks）
- 8. 理解训练深层前馈神经网络的难度（Undetanding the difficulty of training deep feedforward neural networks ）...
- 9. Understanding Neural Networks Through Deep Visualization 论文笔记
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