coordinates

Neural Networks are mostly used to classify. So, the activation of a neuron in the output layer indicates the class of whatever you are classifying. Is it possible (and correct) to design a NN to get 3D coordinates? This is, three output neurons with values in ranges, for example [-1000.0, 1000.0], each one. Yes. You can use a neural network to perform linear regression , and more complicated types of regression, where the output layer has multiple nodes that can be interpreted as a 3-D coordinate (or a much higher-dimensional tuple). To achieve this in TensorFlow, you would create a final

Closed. This question is off-topic. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 7 years ago . I want to implement weather information which will show me results that depends on my longitude and latitude. My app is getting coordinates from GPS so getting them is not a problem. Only thing is, I want to show some weather information for the city that is nearest me and that it has weather info. Can you give me some ideas and solutions. What do you think about google weather API? How to make this

I'm trying to implement a "whack-a-mole" type game using 3D (OpenGL ES) in Android. For now, I have ONE 3D shape (spinning cube) at the screen at any given time that represents my "mole". I have a touch event handler in my view which randomly sets some x,y values in my renderer, causing the cube to move around (using glTranslatef()). I've yet to come across any tutorial or documentation that completely bridges the screen touch events to a 3D scene. I've done a lot of legwork to get to where I'm at but I can't seem to figure this out the rest of the way. From developer.andrdoid.com I'm using

I'm having a problem locating anything on converting RAE to XYZ. If I am on a WGS84 spheroid, at say position -742507, -5462738, 3196706 and I detect an object at a range of 30km, azimuth of 310, and elevation angle of 18 degrees how can I convert that to ECEF XYZ coordinates? Thanks. It appears that there is no straight forward process to do this. The best method I found is to convert from RAE coordinates to SEZ coordinates, then from SEZ coordinates to ECR coordinates. Here is some C# code I modified to C++ to achieve this: void main() { // NOTE: distances are in meters, while angles are in

I'm trying to create an algorithm that orders coordinates around one certain point, in this case; the middle point. I have found: this post, and I came across this reply: - Find the center of the "circle," i.e., the average X and average Y - Shift the X and Y values so all are relative to the new center. - Convert to polar coordinates and sort by angle. Since I am relatively new to this kind of algorithms I decided to ask it here. The reply written above makes somewhat sense to me, but I have no idea what is meant with that. Example: Img: click to open Having the image above, (2,2) would be

I need to get the Coordinates and PixelColor of a TouchPoint in Objective-C. Is this even possible? If yes I would be very interested in the how-to or any hint in the right direction. Thanx!!! rdelmar I get the color under the mouse click point with a UIView category method posted by ivanzoid ( How to get the color of a pixel in an UIView? ). I use it like this in a custom view implementation: - (void)touchesBegan:(NSSet *)touches withEvent:(UIEvent *)event { UITouch *touch = [[event allTouches] anyObject]; CGPoint loc = [touch locationInView:self]; self.pickedColor = [self colorOfPoint:loc];

I have several data frames in R. The first data frame contains the computed convex hull of a set of lat and long coordinates by market (courtesy of chull in R). It looks like this: MyGeo<- "Part of Chicago & Wisconsin" Longitude <- c(-90.31914, -90.61911, -89.37842, -88.0988, -87.44875) Latitude <- c(38.45781, 38.80097, 43.07961, 43.0624,41.49182) dat <- data.frame(Longitude, Latitude, MyGeo) The second has zip codes by their latitude and longitudinal coordinates (courtesy of the US census website). It looks like this: CensuseZip <- c("SomeZipCode1","SomeZipCode2","SomeZipCode3","SomeZipCode4"