How Does Batch Normalization Help Optimization?

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How Does Batch Normalization Help Optimization?

1. 摘要 BN 是一个广泛应用的用于快速稳定地训练深度神经网络的技术,但是我们对其有效性的真正原因仍然所知甚少. 输入分布的稳定性和 BN 的成功之间关系很小,BN 对训练过程更根本的影响是:它让优化更加平滑.这种平滑让梯度更加可预测更加稳定,从而加速训练. 2. BN 和 internal covariate shift 在原始论文 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Cov…

Batch Normalization详解

目录动机单层视角多层视角什么是Batch Normalization Batch Normalization的反向传播 Batch Normalization的预测阶段 Batch Normalization的作用几个问题卷积层如何使用BatchNorm? 没有scale and shift过程可不可以? BN层放在ReLU前面还是后面? BN层为什么有效? 参考博客:blog.shinelee.me | 博客园 | CSDN 动机在博文<为什么要做特征归一化/标准化? 博客园…

[CS231n-CNN] Training Neural Networks Part 1 : activation functions, weight initialization, gradient flow, batch normalization | babysitting the learning process, hyperparameter optimization

课程主页:http://cs231n.stanford.edu/ Introduction to neural networks -Training Neural Network ______________________________________________________________________________________________________________________________________________________________…

Paper | Batch Normalization

目录 1. PROBLEM 1.1. Introduction 1.2. Analysis 2. SOLUTION 2.1. Batch Normalization 及其问题 2.2. 梯度修正及其问题 2.3. Key Algorithm 2.4. Inference 2.5. 实际应用方式 3. EFFECT 论文:Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…