difference

Let's say that I have an object which looks like this: { prop1: false, prop2: false, prop3: false } and another object which looks like this: { prop1: false, prop2: true, prop3: false } where the difference is within the prop2 property. Is there any way or library (vanilla preferred though) which will compare the two objects, find the property with the different value, and return the property name (in this case prop2 )? I have tried using the difference and differenceBy functions in lodash to no success. Any help or suggestions will be greatly appreciated! You could filter the keys (assuming

I am trying to create dynamic tabs in WPF, and I'm trying to write a content template that will only apply to some tab items. I want to be able to create an identifier for the content template so that I can reference it in the code behind, and so that I can selectively apply it to only some tabs in a single TabControl. However, I am confused about these three different xaml identifiers. What is the difference, and which one is best for my purposes? The 'x:' specifies the namespace, which would in your case most likely be " http://schemas.microsoft.com/winfx/2006/xaml " You will see the alias

Is there any specific advantage/usage of using HTML5 <figure> over <img> ? I think <figure> is useless without <figurecaption> , isn't it? It will be helpful if explain with an example. NullPoiиteя Images are not technically inserted into an HTML page, images are linked to HTML pages. The <img> tag creates a holding space for the referenced image. While the content of the <figure> element is related to the main flow, its position is independent of the main flow, and if removed it should not affect the flow of the document From http://dev.w3.org/ The img element represents an image. and the The

I'm writting a piece of code to evaluate my Clustering Algorithm and I find that every kind of evaluation method needs the basic data from a m*n matrix like A = {aij} where aij is the number of data points that are members of class ci and elements of cluster kj . But there appear to be two of this type of matrix in Introduction to Data Mining (Pang-Ning Tan et al.), one is the Confusion Matrix, the other is the Contingency Table. I do not fully understand the difference between the two. Which best describes the matrix I want to use? SpeedBirdNine Wikipedia's definition : In the field of

I'm really surprised that this question does not appear to have been asked yet... if it has, but I just couldn't find it, apologies. Ok, so my work computer has just been upgraded from Windows 7 to Windows 8. To my absolute horror, my WPF Application looks different in several ways... by different, I mean worse, uglier, controls not lined up correctly, etc. Here is an example: Windows 7: Windows 8: Windows 8 problems (just from this image): Wrong title bar including buttons (Minimise, Close, etc.) Wrong size Font in title bar Wrong FontWeight in headings (Windows 7 SemiBold setting = Windows 8

I'm new to the topic of neural networks. I came across the two terms convolutional neural network and recurrent neural network . I'm wondering if these two terms are referring to the same thing, or, if not, what would be the difference between them? Difference between CNN and RNN are as follows: CNN: CNN takes a fixed size inputs and generates fixed-size outputs. CNN is a type of feed-forward artificial neural network - are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. CNNs use connectivity pattern between its neurons and is inspired by the