) Methodtoinvokeifsomethinghappensname: (NSString*) name//Name of station (a constant somewhere)Object:(ID) sender;//whose changes you ' re instertsted in (Nil is anyone ' s)//you 'll then being notified when there is broadcasts-(void) Methodtoinvokeifsomethinghappens: (Nsnotification *) notification{Notification.name//The name passed aboveNotification.Object //The object sending you the notificationNotification.userinfo//notification-specific Information about what happened} 10.Be sure to ' tun
it via the Uitableviewcontroller @property (strong) Uirefreshcontrol *refreshcontrol; Start it with...-(void) beginrefreshing;Stop it with...-(void) endrefreshing; 11.What If your Model changes?-(void) reloaddata;Causes the table view to call Numberofsectionsintableview:and Numberofrowsinsection:all over again and then Cellforrowat Indexpath:on each visible cell. Relatively heavyweight,but if your entire data structure Changes,that ' s what you need. If only part of your Model Changes,there is
two classification problem, so the model is modeled as Bernoulli distributionIn the case of a given Y, naive Bayes assumes that each word appears to be independent of each other, and that each word appears to be a two classification problem, that is, it is also modeled as a Bernoulli distribution.In the GDA model, it is assumed that we are still dealing with a two classification problem, and that the models are still modeled as Bernoulli distributions.In the case of a given y, the value of x is
)) { Cgpoint translation = [gesture translationinview:self.faceview];//conversion to point displacement changes in the coordinate system self.happiness-= TRANSLATION.Y/2; In addition to the effect of 2. Decrease the amplitude of the change [gesture Settranslation:cgpointzero inview:self.faceview];//0 to make the range of changes not additive }}Next, implement the functions defined in the Protocol,-(float) Smileforfaceview: (Faceview *) sender{ return (self.happiness
. The data source does not deal with such things as would and should, he answers how many songs there are and returns the quantity to the view. The view now opens up space for these 10,000 songs. So the function of the controller (C) is to interpret and format the data provided by these models (M) for the View (V).So the question comes again, can the model communicate with the controller? Obviously not. But suppose the data changes how to notify our controllers? It still uses this method of blin
default is to use a hidden layer is a reasonable choice, but if you want to choose the most appropriate layer of hidden layer, you can also try to split the data into training sets, validation sets and test sets, and then try to use a hidden layer of neural network to train the model. Then try two, three hidden layers, and so on. Then see which neural network behaves best on the cross-validation set. That means you get three neural network models, one, two, and three hidden layers, respectively
unreasonable. That is, in the past two months the word has not appeared in the mail, it is considered that the probability of 0, unreasonable.Generally speaking, it is unreasonable to think that these events will not happen if they have not been seen before . Solve this problem with Laplace smoothing.4. Laplace SmoothingAccording to the maximum likelihood estimate, p (y=1) = # "1" s/(# "0" s + # "1" s), that is, the probability of Y being 1 is the ratio of the number of 1 in the sample to all s
Model,view no model-oriented broadcasts, and the view and controller will broadcast to each other.The model broadcast is very useful because it is not visible, but there are restrictions that can only notify the object that is allowed to notify what happened.(7) 1 model only 1 controllers.Can a controller have a view conversation with someone else? Normally the controller will have a pointer pointing to another controller as the view, which will require the controller to display the object. So,
For the performance of four different algorithms in different size data, it can be seen that with the increase of data volume, the performance of the algorithm tends to be close. That is, no matter how bad the algorithm, the amount of data is very
Matlab Modules matlab Modules
Sparse Autoencoder |sparseae_exercise.zip Checknumericalgradient.m-makes sure that Computenumericalgradient is implmented correctly computenumericalgradient.m-computes numerical gradient of a function (to is filled in)
Exercise:learning color features with Sparse autoencoders Contents [hide] 1Learning color features with Sparse Autoencoder s 1.1Dependencies 1.2Learning from color image patches 1.3Step 0:initialization 1.4Step 1:modify your sparse Autoencoder To
Derivation of Contents with reverse conduction thought [hide] 1 Introduction 2 Example 2.1 Example 1: target function of weight matrix in sparse coding 2.2 Example 2: Smooth terrain in sparse coding L1 sparse penalty Function 2.3 example 3:ica
Cnn
CV Tasks
Classification Classification + Localization
CLASSIFICATION:C classesInput:imageOutput:class LabelEvaluation Metric:accuracyLocalizationInput:imageOutput:box in the image (X,y,w,h)Evaluation Metric:intersection over Union method one:
This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines
Reprint please indicate the sourcehttp://blog.csdn.net/pony_maggie/article/details/27706991Author: PonyBecause the content of lesson five is more, it is divided into two parts to write.Basic operation of a screen rotationControls whether the current
Reprint please indicate the sourcehttp://blog.csdn.net/pony_maggie/article/details/27845257Author: PonyFive code examplesThe above mentioned knowledge points are covered in this example. In addition, I'm just here to analyze some important code,
The number of parameters in the 1,oc is different, it can be two completely different methods. Such as-(void) Addcard: (card *) Card attop: (BOOL) attop; -(void) Addcard: (card *) card; A second method can be implemented-(void) Addcard: (Card *)
1. Variable type do not misuse the ID, if it is not carefully easy to throw an error in the execution of the program, because in the compilation phase the compiler simply detects that the variable object belongs to the type, especially when the type
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