题目1 : Colorful Lecture Note 时间限制:10000ms 单点时限:1000ms 内存限制:256MB 描述 Little Hi is writing an algorithm lecture note for Little Ho. To make the note more comprehensible, Little Hi tries to color some of the text. Unfortunately Little Hi is using a plain…

Colorful Lecture Note 时间限制:10000ms 单点时限:1000ms 内存限制:256MB 描述 Little Hi is writing an algorithm lecture note for Little Ho. To make the note more comprehensible, Little Hi tries to color some of the text. Unfortunately Little Hi is using a plain(black…

#1103 : Colorful Lecture Note 时间限制:10000ms 单点时限:1000ms 内存限制:256MB 描述 Little Hi is writing an algorithm lecture note for Little Ho. To make the note more comprehensible, Little Hi tries to color some of the text. Unfortunately Little Hi is using a pla…

Little Hi is writing an algorithm lecture note for Little Ho. To make the note more comprehensible, Little Hi tries to color some of the text. Unfortunately Little Hi is using a plain(black and white) text editor. So he decides to tag the text which…

A 2d grid map of m rows and n columns is initially filled with water. We may perform an addLand operation which turns the water at position (row, col) into a land. Given a list of positions to operate, count the number of islands after each addLand o…

awesome-nlp  A curated list of resources dedicated to Natural Language Processing Maintainers - Keon Kim, Martin Park Please read the contribution guidelines before contributing. Please feel free to pull requests, or email Martin Park (sp3005@nyu.edu…

一些机器学习算法的简介 本节开始,介绍<Computer Science Theory for the Information Age>一书中第六章(这里先暂时跳过第三章),主要涉及学习以及学习的理论——VC理论.而本文主要是介绍一下什么是学习,以及一些常见的学习算法. (一)学习概念 首先,我们用一个例子来介绍什么是学习.假设我们想要用一个算法来识别不同类型的车,比如小汽车.卡车.拖拉机等.根据我们的思维以及对这个领域的知识可知道,我们可以用一系列特征来区分它们,比如我们可以用轮子的数量,发…

Self-taught 自我学习器实验报告 1.Self-taught 自我学习实验描述 自我学习是无监督特征学习算法,自我学习意味着算法能够从未标注数据中学习,从而使机器学习算法能够获得更大数量的数据,因而更有可能取得更好的性能.在本实验中,我们将按照自我学习的步骤,使用稀疏自编码器和softmax分类器去构造一个手写数字分类器. 实现流程 Step 1 :产生训输入和测试样本集 Step 2 :训练稀疏自编码器 Step 3 :提取特征 Step 4 :训练和测试softMax分类器 Ste…

http://codeforces.com/contest/1072/problem/C C. Cram Time time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output In a galaxy far, far away Lesha the student has just got to know that he has an exa…

Lecture Note 2 Tensorboard P3 Data Structures P4 Math Operations P6 Data Types P7 tf native && python native tensorflow && numpy P9 Variables P10-14 var要先initiate/assign placeholder P15-16 Lecture Note 3 An example of logitic regression P3…

wesome Recurrent Neural Networks A curated list of resources dedicated to recurrent neural networks (closely related todeep learning). Maintainers -Jiwon Kim,Myungsub Choi We have pages for other topics:awesome-deep-vision,awesome-random-forest Table…

Matplotlib Tutorial(译) 翻译自:Matplotlib tutorialNicolas P. Rougier - Euroscipy 2012 toc{: toc} 这个教程基于可以从scipy lecture note得到的 Mike Müller的教程. 源代码可从这里获得.图像在figures文件夹内,所有的脚本位于scripts文件夹. 所有的代码和材料以Creative Commons Attribution 3.0 United States License (C…

问题的出现 Question 这个问题是我基于TensorFlow使用CNN训练MNIST数据集的时候遇到的.关键的相关代码是以下这部分: cross_entropy = -tf.reduce_sum(y_*tf.log(y_conv)) train_step = tf.train.AdamOptimizer(1e-4).minimize(cross_entropy) 学习速率是\((1e-4)\)的时候是没有问题,但是当我把学习速率调到\(0.01/0.5\)的时候,很快就会报错. tenso…

不多说,直接上干货! 关于tcpdump二进制格式,这个基本概念不说. 支持tcpdump二进制格式的嗅探器工具,这里我说两个:tcpdump或者ethereal. [root@datatest SecondWeek]# pwd /root/data/DARPA1999/SecondWeek [root@datatest SecondWeek]# ll total -rw-r--r--. root root Aug : inside.tcpdump [root@datatest SecondWe…

from:https://www.zhihu.com/question/49346370   Harick     梯度爆炸了吧. 我的解决办法一般以下几条:1.数据归一化(减均值,除方差,或者加入normalization,例如BN.L2 norm等):2.更换参数初始化方法(对于CNN,一般用xavier或者msra的初始化方法):3.减小学习率.减小batch size:4.加入gradient clipping: 发布于 2016-09-04   仁孟     说明训练不收敛了, 学习率…

RNNs and Language modeling in TensorFlow From feed-forward to Recurrent Neural Networks (RNNs) In the last few weeks, we've seen how feed-forward and convolutional neural networks have achieved incredible results. They perform on par with, even outpe…

Lecture note 5: word2vec + manage experiments Word2vec Most of you are probably already familiar with word embedding and understand the importance of a model like word2vec. For those who aren't, Stanford CS 224N's lecture on word vectors is a great r…

Convolutions in TensorFlow Convolutions without training You might already be familiar with the term "convolution" from a mathematical or physical context. In the mathematical context, "convolution" is defined, by Oxford dictionary, as…

Lecture note 4: Eager execution and interface Eager execution Eager execution is (1) a NumPy-like library for numerical computation with support for GPU acceleration and automatic differentiation, and (2) a flexible platform for machine learning rese…

Lecture note 1: Introduction to TensorFlow Why TensorFlow TensorFlow was originally created by researchers at Google as a single infrastructure for machine learning in both production and research. Later, an implementation of it was open sourced unde…

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…

Lecture 3(part 1) Divide and conquer 1. the general paradim of algrithm as bellow: 1. divide the problem into subproblems; 2. conqure each subproblems recrusively; 3. combine solution 2. Some typical problem (part 1) the matrix mutiplication(strassen…

Lecture2 Elimination Inverses Permutation 消元法介绍(elimination): 有方程组 提取系数,形成矩阵为: 消元的思想跟解方程组中先消除未知数的思路一致,通过数乘(multiply)和减法(substract)化简,化简过程为: 以上红框起来的数字叫pivot(主元),此例中主元分别为1.2.5 第一步操作是为了将第二行第一列的值变为0,简记为(2,1),即row2-3*row1, 由于第三行第一列的值已为0,下一步操作是为了将第三行第二列的值变…

Mr. Kitayuta's Colorful GraphTime Limit:1000MS Memory Limit:262144KB 64bit IO Format:%I64d & %I64u Description Mr. Kitayuta has just bought an undirected graph consisting of n vertices and m edges. The vertices of the graph are numbered to n. Each ed…

Mr. Kitayuta's Colorful Graph Time Limit:1000MS     Memory Limit:262144KB     64bit IO Format:%I64d & %I64u Submit Status Practice CodeForces 505B Description Mr. Kitayuta has just bought an undirected graph consisting of n vertices and m edges. The…

B. Mr. Kitayuta's Colorful Graph time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mr. Kitayuta has just bought an undirected graph consisting of n vertices and m edges. The vertices of the g…

D. Mr. Kitayuta's Colorful Graph Time Limit: 20 Sec Memory Limit: 256 MB 题目连接 http://codeforces.com/contest/506/problem/D Description Mr. Kitayuta has just bought an undirected graph with n vertices and m edges. The vertices of the graph are numbered…

 B. Mr. Kitayuta's Colorful Graph  time limit per test 1 second Mr. Kitayuta has just bought an undirected graph consisting of n vertices and m edges. The vertices of the graph are numbered from 1 to n. Each edge, namely edge i, has a color ci, conne…

B. Mr. Kitayuta's Colorful Graph time limit per test 1 second memory limit per test 256 megabytes input standard input output standard output Mr. Kitayuta has just bought an undirected graph consisting of n vertices and m edges. The vertices of the g…

转载请注明出处: http://www.cnblogs.com/fraud/          ——by fraud E. A and B and Lecture Rooms A and B are preparing themselves for programming contests. The University where A and B study is a set of rooms connected by corridors. Overall, the University ha…