单层rnn的bptt: 每一个时间点的误差进行反向传播,然后将delta求和,更新本层weight. 多层时: 1.时间1:T 分层计算activation. 2.时间T:1 利用本时间点的误差,分层计算weight delta,和之前时间点的计算结果相加. 最后得到的delta用来更新weight.…

典型的浅层学习结构: 传统隐马尔可夫模型(HMM).条件随机场 (CRFs).最大熵模型(Maxent).支持向量机(SVM).核回归及仅含单隐层的多层感知器(MLP)等. 局部表示,分布式表示和稀疏表示:局部表示聚类算法,最近邻算法的输入空间切割局部之间互斥,分布式表达ICA.PCA和RBM,器所使用的特征较少,PCA和ICA能获取主要分量信息,但输出信号数目小于输入信号数目,不能很好地解决欠定问题. Learning multiple layers of representation  Ge…

I know how to make the raycast ignore a layer but I want it to ignore layers 9 and 10 but collide with the rest of the layers. I would do it the other way round: declare the variable private and use the SerializeField attribute. This way you can edit…

MapServer Tutorial——MapServer7.2.1教程学习——第一节用例实践:Example1.2 Static Map with Two Layers 一.前言 上一篇博客<MapServer Tutorial——MapServer7.2.1教程学习——第一节用例实践:Example1.1 A map with single layer>中介绍了单图层的地图加载显示.下面根据官网的例子介绍两个图层的加载显示.官网地址:https://www.mapserver.org/tu…

转载 - Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs Recurrent Neural Networks (RNN) 是当前比较流行的模型,在自然语言处理中有很重要的应用.但是现在对RNN的详细结构模型以及如何实现RNN算法的博客很少,故本文目的是翻译该外文资料,帮助理解大家理解.同时,英文文章写的很有深度,而且翻译错误之处可能会很多,有兴趣的可以参阅英文原文.本教程主要分为以下四个部分: RNN 简介 (本…

神经网络的实践笔记 link: http://peterroelants.github.io/posts/neural_network_implementation_part01/ 1. 生成训练数据 import numpy as np import matplotlib.pyplot as plt # 神经网络中有关# 矩阵的运算我们采用NumPy来构建,# 画图使用Matplotlib来构建. # Part 1, create training data # Define the vect…

SSD论文阅读(Wei Liu--[ECCV2016]SSD Single Shot MultiBox Detector) 目录 作者及相关链接 文章的选择原因 方法概括 方法细节 相关背景补充 实验结果 与相关文章的对比 总结 作者 intro: ECCV 2016 Oral arxiv: http://arxiv.org/abs/1512.02325 paper: http://www.cs.unc.edu/~wliu/papers/ssd.pdf slides: http://www.cs…

@property(nullable) CGColorRef shadowColor; /* The opacity of the shadow. Defaults to 0. Specifying a value outside the * [0,1] range will give undefined results. Animatable. */ @property float shadowOpacity; /* The shadow offset. Defaults to (0, -3)…

数据类型 日期时间类型 DATE(日期) DATE 数据类型由年.月.日信息组成,表示一个日期值. DATA 类型的默认格式为‘YYYY-MM-DD’. YYYY 表示年, MM 表示月而 DD 表示日.时间值的范围从 0001-01-01 至 9999-12-31. 数据类型扩展 除了内置的SQL数据类型,在SQLScript里用户可以自定义一些表类型的数据类型 标准数据类型 SQLScript类型系统是基于SQL-92类型系统的,它支持以下基础数据类型: Numeric types: TIN…

http://blog.csdn.net/wangjie0377/article/details/7830405 CxImage图像库 CxImage下载地址:http://www.codeproject.com/KB/graphics/cximage/cximage600_full.zip 作者:Davide Pizzolato CxImage简介 CxImage是一个可以简便而快速地打开.保存.显示和转换图像文件的 C++类库,它可以用于MFC,可以打开,保存,显示,转换各种常见格式的图像文…

Prevent and troubleshoot runtime issues Troubleshooting performance, security and errors using performance wizard (Vs2012) Using VS profiler (Analyzer | Profiler) Using Performance Monitor NLog/log4net for logging Tracing, Trace.WriteLine("Message&qu…

Artificial intelligence, revealed Yann LeCunJoaquin Quiñonero Candela It's 8:00 am on a Tuesday morning. You've awoken, scanned the headlines on your phone, responded to an online post, ordered a holiday sweater for your mom, locked up the house, and…

http://blog.csdn.net/myarrow/article/details/51933651 1. 目前进展 1.1 相关资料      1)HANDS CVPR 2016      2)HANDS 2015 Dataset      3)CVPR 2016      4)Hand 3D Pose Estimation (Computer Vision for Augmented Reality Lab)          5)CVPR2016 Tutorial: 3D Deep…

Deep Learning in a Nutshell: History and Training This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an…

转自http://www.unitymanual.com/thread-21597-1-1.html 此总结由自己经验及网上收集整理优化内容 包括:1.代码方面:2.函数使用方面:3.ngui注意方面:4.数学运算方面:5.内存方面:6.垃圾回收方面 等等...本着相互交流 共同进步的原则 好了,总结如下: 1. 尽量避免每帧处理,可以每隔几帧处理一次 比如: [C#] 纯文本查看 复制代码 function Update() { DoSomeThing(); } 可改为每5帧处理一次: [C#…

/*<说明> 编程实现将字符串中最短的单词输出,在主函数中输入字符串,编写一个函数完成最短单词的查找 </说明>*/ #include<time.h> #include<iostream> using namespace std; void shortestWord(char* in) { ; ]; ;*(;i++) { if(*(in+i)==' ') { o[j]=i; //o的作用是定位每一个空格的位置 通过空格位置间隔的大小判断单词的长短 j++;…

Deep Learning Methods for Vision CVPR 2012 Tutorial  9:00am-5:30pm, Sunday June 17th, Ballroom D (Full day) Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google) Ruslan Salakhutdinov(Toronto), Graham Taylor(Guelph), Kai Yu(Baidu)  O…

colah's blog Blog About Contact Neural Networks, Manifolds, and Topology Posted on April 6, 2014 topology, neural networks, deep learning, manifold hypothesis Recently, there’s been a great deal of excitement and interest in deep neural networks beca…

Contents [hide]  1 Introduction 2 Our Sample Setup 3 Install Keepalived 4 Install Kernel Headers 5 Compile keepalived 6 Create Required Softlinks 7 Configuration 8 Verify: Keepalived Working Or Not 8.1 Sample outputs 8.2 Hugo said ... 8.3 YazzY said…

收藏几篇关于ssl handshake的好文 http://www.slashroot.in/comment/1242 SSL protocol, does its fantastic job of securing communication over the wire, with the help of multiple layers of protocols, above TCP(And After Application Layer). Always keep in mind that,…

Deep Learning in a Nutshell: Core Concepts This post is the first in a series I’ll be writing for Parallel Forall that aims to provide an intuitive and gentle introduction todeep learning. It covers the most important deep learning concepts and aims…

Initialization of deep networks 24 Feb 2015Gustav Larsson As we all know, the solution to a non-convex optimization algorithm (like stochastic gradient descent) depends on the initial values of the parameters. This post is about choosing initializati…

转自:http://blog.csdn.net/u011707076/article/details/44903223 LevelStream 实现超大无缝地图--官方文档学习 The Level Streaming feature makes it possible to load and unload map files into memory as well as toggle their visibility all during play. This makes it possible…

Stephen Smith's Blog All things Sage 300… The Road to TensorFlow – Part 7: Finally Some Code leave a comment » Introduction Well after a long journey through Linux, Python, Python Libraries, the Stock Market, an Introduction to Neural Networks and tr…

Deep Learning in a Nutshell: Core Concepts Share:   Posted on November 3, 2015by Tim Dettmers 7 CommentsTagged cuDNN, Deep Learning, Deep Neural Networks, Machine Learning,Neural Networks   This post is the first in a series I’ll be writing for Paral…

http://fxexperience.com/2011/12/styling-fx-buttons-with-css/ ———————————————————————————————————————————————————————— Styling FX Buttons with CSS December 20, 2011 By Jasper Potts A number of people have asked me recently can I create this look or th…

This example shows how to use Neural Network Toolbox™ to train a deep neural network to classify images of digits. Neural networks with multiple hidden layers can be useful for solving classification problems with complex data, such as images. Each l…

Reviewing the Blog Module Throughout the tutorial, we have created a fully functional CRUD module using a blog as an example. While doing so, we've made use of several different design patterns and best-practices. Now it's time to reiterate and take…

[Ref: http://en.wikipedia.org/wiki/Deep_learning] Definition: a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures or otherwise, composed…

Scenes Director Layers Multiple Layers Example: Sprites References Scenes A scene (implemented with the CCScene object) is more or less an independent piece of the app workflow. Some people may call them “screens” or “stages”. Your app can have many…