artificial-intelligence

Open Source Neural Network Library [closed]

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问题 I am looking for an open source neural network library. So far, I have looked at FANN, WEKA, and OpenNN. Are the others that I should look at? The criteria, of course, is documentation, examples, and ease of use. 回答1: Last update: 2019/01/07 (I will update this answer from time to time...) Simple Implementations of Neural Networks FANN is a very popular implementation in C/C++ and has bindings for many other languages. I think WEKA hasn't got a very good implementation for neural networks.

Error in Confusion Matrix : the data and reference factors must have the same number of levels

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I've trained a Linear Regression model with R caret. I'm now trying to generate a confusion matrix and keep getting the following error: Error in confusionMatrix.default(pred, testing$Final) : the data and reference factors must have the same number of levels EnglishMarks <- read.csv("E:/Subject Wise Data/EnglishMarks.csv", header=TRUE) inTrain<-createDataPartition(y=EnglishMarks$Final,p=0.7,list=FALSE) training<-EnglishMarks[inTrain,] testing<-EnglishMarks[-inTrain,] predictionsTree <- predict(treeFit, testdata) confusionMatrix(predictionsTree, testdata$catgeory) modFit<-train(Final~UT1+UT2

java:implement 8 queen using depth first search

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问题 i am try to implement 8 queen using depth search for any initial state it work fine for empty board(no queen on the board) ,but i need it to work for initial state if there is a solution,if there is no solution for this initial state it will print there is no solution Here is my code: public class depth { public static void main(String[] args) { //we create a board int[][] board = new int[8][8]; board [0][0]=1; board [1][1]=1; board [2][2]=1; board [3][3]=1; board [4][4]=1; board [5][5]=1;

How to get a single entity from an image?

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问题 I am using this image. I would like to have only the human part from this image. I don't want the background of this image. How to do this? Any logic, links or the best and simple way? here is the thing i want Link but i want this in objective c 回答1: There is no easy and fast way to satisfy your requirements. For the beginning you can learn how to detect objects in OpenCV. After this you can check haarcascade_fullbody.xml from OpenCV sources. This cascade is for detecting bodies, open it in

Clustering Algorithm for Mapping Application

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I'm looking into clustering points on a map (latitude/longitude). Are there any recommendations as to a suitable algorithm that is fast and scalable? More specifically, I have a series of latitude/longitude coordinates and a map viewport. I'm trying to cluster the points that are close together in order to remove clutter. I already have a solution to the problem ( see here ), only I am wondering if there is any formal algorithm that solves the problem efficiently. Geri Langlois For a virtual earth application I've used the clustering described here . It's lightning fast and easily extensible.

Generating non-uniform random numbers [closed]

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问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 7 months ago . Can you tell me any ways to generate non-uniform random numbers? I am using Java but the code examples can be in whatever you want. One way is to create a skewed distribution by adding two uniform random numbers together (i.e. rolling 2 dice). 回答1: What distribution of deviates

Simple tic-tac-toe AI [closed]

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问题 I know this has been asked a lot and I've searched other code but most of what I've seen doesn't seem flawless (never loses) and simple, elegant and efficient. And I'm unable to decide which type of solution would fit that description. The solutions I've seen are: (1) Using minimax with alpha-beta pruning. This seems complicated to me and possibly unnecessary for such a simple game? Is it probably too complicated? If not, would I need to do a lot of hard coding or am I misunderstanding the

How to create a new gym environment in OpenAI?

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I have an assignment to make an AI Agent that will learn play a video game using ML. I want to create a new environment using OpenAI Gym because I don't want to use an existing environment. How can I create a new, custom, Environment? Also, is there any other way that I can start to develop making AI Agent to play an specific video game without the help of OpenAI Gym? Martin Thoma See my banana-gym for an extremely small environment. Create new environments See the main page of the repository: https://github.com/openai/gym/blob/master/docs/creating-environments.md The steps are: Create a new

Good beginners material on Prolog [closed]

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I am looking for good beginners material on Prolog, both online and printed. I am not only interested in 'learning the language' but also in background and scientific information. Check out Learn Prolog Now! This book is well-written, should be easy to read for beginners. It's available in printed form and also as a free online version. It is also relatively new (from 2003), which is not the case with many Prolog books out there. Adventure in Prolog Dennis Merritt | Springer Published in 1990, 186 pages An Introduction to Logic Programming through Prolog Michael Spivey | Prentice Hall

Epoch vs Iteration when training neural networks

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What is the difference between epoch and iteration when training a multi-layer perceptron? In the neural network terminology: one epoch = one forward pass and one backward pass of all the training examples batch size = the number of training examples in one forward/backward pass. The higher the batch size, the more memory space you'll need. number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes). Example: if you have 1000