本文主要介绍Dropout及延伸下来的一些方法,以便更深入的理解. 想要提高CNN的表达或分类能力,最直接的方法就是采用更深的网络和更多的神经元,即deeper and wider.但是,复杂的网络也意味着更加容易过拟合.于是就有了Dropout,大部分实验表明其具有一定的防止过拟合的能力. 1- Dropout 最早的Dropout可以看Hinton的这篇文章 <Improving neural networks by preventing co-adaptation of feature D
About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res
Train/Dev/Test set Bias/Variance Regularization 有下面一些regularization的方法. L2 regularation drop out data augmentation(翻转图片得到一个新的example), early stopping(画出J_train 和J_dev 对应于iteration的图像) L2 regularization: Forbenius Norm. 上面这张图提到了weight decay 的概念 Weigh
Overfitting & Regularization The Problem of overfitting A common issue in machine learning or mathematical modeling is overfitting, which occurs when you build a model that not only captures the signal but also the noise in a dataset. Because we want
I have finished the first course in the DeepLearnin.ai series. The assignment is relatively easy, but it indeed provides many interesting insight. You can find some summary notes of the first course in my previous 2 posts. sigmoid and shallow NN Forw
目录 Overcrossing? L₂ Regularization Lambda Examining L2 regularization Check Understanding Glossay Overcrossing? complete this exercise that explores overuse of feature crosses. Task 1: Run the model as is, with all of the given cross-product features
转自:https://blogs.dropbox.com/tech/2017/09/optimizing-web-servers-for-high-throughput-and-low-latency/ This is an expanded version of my talk at NginxConf 2017 on September 6, 2017. As an SRE on the Dropbox Traffic Team, I’m responsible for our Edge n
HTML5 原生的 Drag and Drop是很不错的功能,网上使用例子较多如 http://html5demos.com/drag ,但这些例子大部分没实际用途,本文将搞个有点使用价值的例子,通过Drag and Drop生成图片的Base64的字符串信息. 使用Base64方式的图片有诸多好处,可将多个图片信息整合到单个js文件避免多次http请求,可以避免WebGL例子跨域访问的安全限制无法本地文件运行等好处,当然弊端也不少例如不能有效利用浏览器图片缓存机制等.使用HT for Web的
Is there any way in which I can clean a database in SQl Server 2005 by dropping all the tables and deleting stored procedures, triggers, constraints and all the dependencies in one SQL statement? REASON FOR REQUEST: I want to have a DB script for cle
