unsupervised learning podcast

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Deep Learning Series (15) supervised and unsupervised training

1. Preface In the process of learning deep learning, the main reference is four documents: the University of Taiwan's machine learning skills open course; Andrew ng's deep learning tutorial; Li Feifei's CNN tutorial; Caffe's official website tutorial; Comparing these data, there was a sudden confusion: the DA and Andr

Nonlinear excitation function and unsupervised pre-training in deep learning

closer to the real neuron activation model. Bridging the gap with pre-training 2 about pre-training in deep learning 2.1 Why pre-training Deep networking has the following drawbacks: The deeper the network, the more training samples are needed. If the use of supervision will require a large number of samples, or small-scale samples can easily lead to overfitting. (Deep network means more features, machine learnin

Supervised learning and unsupervised learning

Supervised LearningGiven an algorithm that requires some data sets already have the correct answer. For example, given the price data set. Supervised learning is also called regression.Example: House price prediction, cancer predictionUnsupervised LearningThe sample set is not labeled, and a set of unlabeled data is divided into multiple clustersExample: Organizing computer clusters, social network analysisCocktail Party IssuesExtracting effective inf

Prednet---Deep predictive coding networks for video prediction and unsupervised learning---paper notes

Prednet---Deep predictive coding networks for video prediction and unsupervised learning ICLR 20172017.03.12 Code and video examples can found at: https://coxlab.github.io/prednet/Absrtact: Deep learning techniques based on supervised training have achieved great success, but unsupervised problems remain a difficult pr

Yi Hundred tutorial ai python correction-ai unsupervised learning (clustering)

Unsupervised machine learning algorithms no guidance is provided by any supervisor. That's why they are tightly integrated with real AI.In unsupervised learning, there is no correct answer and no supervisor guidance. The algorithm needs to discover interesting data patterns for learning.What is clustering? Basically, i

An unsupervised learning algorithm-apriori correlation analysis

divided by 4/5 = 0.75. The above is only one of the combinations, in theory to calculate the probability of all permutations, so with the increase in data volume, the calculation of the exponential growth, and the Apriori algorithm is how to reduce the amount of computation The principle of AprioriProposition: If an item set is non-frequent, the inclusion of the itemsets is also infrequent.TodoPros and cons and scenarios Advantages: Easy Coding Cons: Big data volume time m

[Data Mining Course notes] unsupervised learning-clustering (clustering)

the property type of the sample set is mixed, the following formula can be used to calculate the distance:Where the denominator is the weight of the property.Partitional Clustering main idea: First man decides to divide the data set into K-clusters, then according to the similarity of the cluster to be as large as possible, the similarity between clusters should be as small as possible, the sample is divided into different clusters. 1. K-means ClusteringAlgorithm process: The K clusters are ran

K-Means algorithm (data mining unsupervised learning)

One, unsupervised learning1. Clustering: It is a process of classifying and organizing data members with similar data concentrations in some aspects. Therefore, a cluster is a collection of some data instances. Clustering techniques are often called unsupervised learning.Second, K-means clustering1, K-means algorithm: is the discovery of a given dataset K cluster algorithm2. Steps:1), randomly selected K nu

5. Unsupervised Learning-dbscan Clustering algorithm and its application

samples are considered the maximum distance from the neighbor node2.min_samples: Number of samples in a cluster3.metric: Distance calculation methodExample: Sklearn.cluster.DBSCAN (eps=0.5,min_samples=5,metric= ' Euclidean ') #euclidean表明我们要采用欧氏距离计算样本点的距离!3-1. online time clustering, create Dbscan algorithm instances, and train to get tags:4. Output tab, view resultsIn order to show the result better, we can draw it into the form of histogram, which is easy for us to analyze; we use the Hist fu

The clustering 2--dbscan of unsupervised learning

-1 0 0 2-1 1-1 1 0-1 2 1 3 1 1-1 1 0 0-1 00 3 2 0 0 5-1 3 2-1 5 4 4 4-1 5 5-1 4 0 4 4 4 5 44 5 5 0 5 4-1 4 5 5 5 1 5 5 0 5 4 4-1 4 4 5 4 0 54-1 0 5 5 5-1 4 5 5 5 5 4 4]Noise raito:22.15%Estimated Numbe of Clusters:6Silhouette coefficient:0.710Cluster 0:[22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 2 2, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22]Cluster 1:[23, 23, 23, 23,

Guangzhou Podcast PHP Training basic job classes are learning which courses

Guangzhou Preach Wisdom Podcast PHP training basic job classes are learning which courses Guangzhou Preach Wisdom Podcast PHP training basic job classes are learning which courses Guangzhou Wisdom Podcast is the only IT training organization in the South China market made

Wisdom Podcast C + + learning comprehension

home to make a phone call, reported a peace. Ask your girlfriend how your parents are. Don't play crazy, extreme forget who you are.Landlord graduation first volunteer is to stay in the school to do technical counseling, after all, teaching others is to improve their quickest path. Unfortunately, know that their own learning is not good, or something else, I heard the technical counseling people full, very sorry.After graduation, for the direction of

Intelligence Podcast Internal Learning website + book Sharing

Youdao cloud notes \ Chalk net \ Ape Question Bankhttp://onevcat.com/Wang Wei Inauguration line technical field: Ios+unity3dhttp://beyondvincent.com/blog/archives/http://esoftmobile.com/Http://blog.csdn.net/tonny_guan?viewmode=contentsHttp://blog.csdn.net/opengl_esGame development:http://blog.codingnow.com/Wu Yunyang (Yun Feng) is very good, director of NetEase Research Centerhttp://www.gameres.com/is a very good game information portalHttp://game.ceeger.com/forum/Unity3D

Wisdom Podcast Video Learning----The formal parameter properties of >>>> functions

Properties of function Parameters:#include //the parameter int a here, just has an external interface,//other properties have the same properties as B in the function body.//It is destroyed at the end of the function execution.intFunctionparameterproperty (inta) { intb =Ten; A=b; printf ("A =%d", a);}intMain () {intA =0; Functionpatameterproperty (a); //This statement does not assign a value to a in the main function return 0;}Wisdom Podcast

Wisdom Podcast Video Learning---->>>> typedef redefining data types

1. typedef redefine Array type1typedefint(MyArray) [5];//defines a data type array data type2MyArray MyArray;//equivalent to int myarray[5];3 4 //Initialize array contents5 for(inti =0; I 5; i + +){6Myarray[i] = i +1;7 }8 9 //Print Array ContentsTen for(inti =0; I 5; i + +){ Oneprintf"myarray[%d] =%d \ n", I, Myarray[i]); A } - -printf"MyArray represents the address of the first element of the array MyArray:%d, myarray+1:%d \ n", MyArray, MyArray +1); theprintf"myarray represents the entire a

The fifth day of the Net foundation of the Wisdom Podcast Learning

, Request.url get the requested URL, the difference is related to URL rewriting problems.Create a new ASPX page with no content on the page, and the following code is in the background:usingSystem;usingSystem.Collections.Generic;usingSystem.Linq;usingsystem.web;usingSystem.Web.UI;usingSystem.Web.UI.WebControls; Public Partial class_2request Object 1_default:system.web.ui.page{protected voidPage_Load (Objectsender, EventArgs e) {Response.Write (Request.apprelativecurrentexecutionfilepath+""); Res

Chuanzhi podcast -- WPF basic video learning -- sender explanation, -- wpf -- sender

Chuanzhi podcast -- WPF basic video learning -- sender explanation, -- wpf -- sender Sender is the object that fires the event. If it is used in the double-click event of the Button, it is only the currently clicked object. For example, there are two Button controls: 1 and 2, respectively, and a Button_Click event is bound. Private void Button_Click (object sender, RoutedEventArgs e) {Button btn = (Button)

Wisdom Podcast Video Learning---->>>> wild pointer causes and avoidance methods

The reason why the wild pointer is produced:1, the pointer variable and the memory space variable that he points to are two different concepts2, although the call to the free (p) method frees the memory space pointed to by the pointer, but the pointer variable is not reset to null3, resulting in the freed of the pointed memory space, the use if (p! = NULL) is also executed, and the free () method is executedAvoidance methods:1, when the pointer is defined, initializes its value to null (char *p

Wisdom Podcast Video Learning---->>>> malloc () function

The function of the application memory space in the C language malloc ()char *p = NULL;p = (char *) malloc (sizeof (char) * 100);The meaning of the above code is:Defines a char-type pointer pAllocate size to the memory space pointed by the pointer p through the MALLOC functionP is the memory addresssizeof is the number of bytes occupied by getting char, typically 4 bytesThe malloc function is the void* function (void * __cdecl malloc (_in_ _crt_guardoverflow size_t _size);)So to force the defini

Guangzhou Podcast PHP Training basic job classes are learning which courses

Guangzhou Preach Wisdom Podcast PHP training basic job classes are learning which courses

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