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Questions tagged [convergence]

303 questions
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Understanding code wrt Logistic Regression using gradient descent

I was following Siraj Raval's videos on logistic regression using gradient descent : 1) Link to longer video : https://www.youtube.com/watch?v=XdM6ER7zTLk&t=2686s 2) Link to shorter video :…
chi
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CNN model on image classification is not convergent, which is based on Tensorflow

I try to train a CNN model, 2 classes, which is based on tensorflow to do the image classification. I have tried much modification about epochs, learning rate, batch size and the CNN size, but nothing works. about data 86(label: 0) + 63(label: 1)…
Tozz
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problems with model convergence: Error in ans.ret[meth, ] <- c(ans$par, ans$value, ans$fevals, ans$gevals,

I'm using lme4 to build a collaborative filter and running into convergence issues. Trying to solve via the following resources and getting a new error: Error in ans.ret[meth, ] <- c(ans$par, ans$value, ans$fevals, ans$gevals, : number of…
alexwhitworth
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Can I use sympy to solve for convergence?

Hello I am writing a program that determines if a series is convergent or not, and discovered sympy. I have written almost all of the tests, just have a few hard ones to write, but I now wonder if their is a built in sympy method to solve it. I have…
Thomas Brian Tierney III
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TensorFlow convergence is stuck to a high value

I was playing around with TensorFlow and I was looking at the tutorial from: https://github.com/aymericdamien/TensorFlow-Examples/tree/0.11/examples/3_NeuralNetworks Because I did not want to do the MNINST database, I changed the script with some…
Joesmaker
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Convergence in Logistic Regression in distributed tensorflow

I'm trying to develop logistic regression in distributed tensorflow and I want to integrate a convergence check in my algorithm apart from the upper bound of iterations. The convergence criteria I am about to use is ||prevW - currW|| < E where prevW…
nikosprov
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Calculating the rate of convergence of the code using newton method

My task is to write a program which calculates the rate of convergence of a method. I had to use the newton method to make an approximation of the root. This part of the code is ok and works well, but I will inculde it. x0 : start value F:…
Yalom
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How to allow the genetic algorithm to run to convergence (Matlab)

I am running genetic algorithm using global optimization toolbox in Matlab. I want to allow the algorithm to run until the difference between the best value is <=10^{-15}. I tried to use ftol and ctol for this purpose but the algorithm terminates at…
Lucky
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Test Kitchen: Chef don't restart after reboot

I have a problem during testing my chef cookbooks using Kitchen. I use Vagrant as a driver and Virtual Box as virtualization system. They running on Linux platform. I have create a test recipe to reboot my machine. This is the code: # # Author::…
AleZucchelli
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Geometric proof of Convergence of Perceptron Algorithm

I have a question considering Geoffrey Hinton's proof of convergence of the perceptron algorithm: Lecture Slides. On slide 23 it says: Every time the perceptron makes a mistake, the squared distance to all of these generously feasible weight…
R. Downey
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logistic regression gradient descent not converging

I am trying to implement logistic regression using gradient descent to find the weights of a multivariate function given some data. So far I have come up with the following and the gradientDescent() function works using the meanSquareError() input…
dinamix
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dlib network doesn't converge

I'm working on character recognition using dlib on linux. When I train my network on 1000 characters the network converges until it reaches 100% of accuracy but when I try training it with 10,000 or 100,000 characters it is not converging anymore to…
landa
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GLMNet convergence issue for penalized regression

I am working on network models for political networks. One of the things I am doing is penalized inference. I am using an adaptive lasso approach by setting a penalty factor for glmnet. I have various parameters in my model: alphas and phis. The…
Frank
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Improve computation time of numerous binomial processes in hierachical model (openbugs/winbugs)

I am currently developing a hierarchical bayesian model in Openbugs that involves a lot (about 6000 sites) of binomial processes. It describes successive removal electric fishing events/pass and the general structure is as follow: N_tot[i]<-d[i] *…
Guillaume Dauphin
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Kalman Filter of a straight line doesn't converge

I'm trying to write an algorithm that estimates and tracks a straigh line: y[k]=b1*x[k]+b2[k]. In the real physical system I work with, I can only measure y[k], and to control it the input is x[k] (I enter x[k] and expect to get a specific…
Shaked
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