Solution using Modulo A simple solution that catches all cases. degrees = (degrees + 360) % 360; // +360 for implementations where mod returns negative numbers Explanation Positive: 1 to 180 If you mod any positive number between 1 and 180 by 360, you will get the exact same number you put in. Mod here … Read more
Yes, you can. Since GUIDs are 128 bits long, there is admittedly a minute possibility of a clash—but the word “minute” is nowhere near strong enough. There are so many GUIDs that if you generate several trillion of them randomly, you’re still more likely to get hit by a meteorite than to have even one … Read more
Traditionally by megabyte we mean your second option — 1 megabyte = 220 bytes. But it is not correct actually because mega means 1 000 000. There is a new standard name for 220 bytes, it is mebibyte (http://en.wikipedia.org/wiki/Mebibyte) and it gathers popularity.
Here is a javascript function: function measure(lat1, lon1, lat2, lon2){ // generally used geo measurement function var R = 6378.137; // Radius of earth in KM var dLat = lat2 * Math.PI / 180 – lat1 * Math.PI / 180; var dLon = lon2 * Math.PI / 180 – lon1 * Math.PI / 180; var … Read more
Thanks! Here is a C# version of OP’s solutions using degrees. It utilises the System.Device.Location.GeoCoordinate class public static GeoCoordinate GetCentralGeoCoordinate( IList<GeoCoordinate> geoCoordinates) { if (geoCoordinates.Count == 1) { return geoCoordinates.Single(); } double x = 0; double y = 0; double z = 0; foreach (var geoCoordinate in geoCoordinates) { var latitude = geoCoordinate.Latitude * Math.PI … Read more
The purpose of the activation function is to introduce non-linearity into the network in turn, this allows you to model a response variable (aka target variable, class label, or score) that varies non-linearly with its explanatory variables non-linear means that the output cannot be reproduced from a linear combination of the inputs (which is not … Read more
If we define dx = x2 – x1 and dy = y2 – y1, then the normals are (-dy, dx) and (dy, -dx). Note that no division is required, and so you’re not risking dividing by zero.
There is one nice attribute of Softmax as compared with standard normalisation. It react to low stimulation (think blurry image) of your neural net with rather uniform distribution and to high stimulation (ie. large numbers, think crisp image) with probabilities close to 0 and 1. While standard normalisation does not care as long as the … Read more
Let’s say you want to scale a range [min,max] to [a,b]. You’re looking for a (continuous) function that satisfies f(min) = a f(max) = b In your case, a would be 1 and b would be 30, but let’s start with something simpler and try to map [min,max] into the range [0,1]. Putting min into … Read more
How to generate a random point within a circle of radius R: r = R * sqrt(random()) theta = random() * 2 * PI (Assuming random() gives a value between 0 and 1 uniformly) If you want to convert this to Cartesian coordinates, you can do x = centerX + r * cos(theta) y = … Read more