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updated 5 months ago

Efficient Beltrami Image Denoising and Deconvolution by Dominique Zosso

Implementation of our Primal-Dual Projected Gradients algorithm for efficient Beltrami regularizatio (beltrami, image denoising, nonblind deconvolutio...)

BackwardX(v)

BackwardY(v)

BeltramiPD( I0, beta, lambda, r1, r2, tol, Maxit )

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updated almost 2 years ago

Linear Gradient Descent from lectures of Andrew Ng by Lukas Tencer

This is an algorithm for fitting linear model to multivariate data. (gradient descent, mathematics, optimization)

geadientDescent( data )

loadData( type )

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updated almost 2 years ago

Optimal Inverse Function Creation by Alan Jennings

Creates continuous, optimal inverse-functions: given a desired output, finds the optimal input (inverse, optimization, multidimensional)

InvFun_Test

InvFuntions=InvFun(Pop_I,ProbStrut)

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updated 2 years ago

Gradient Descent by Sachinthaka

This function finds the local minima of a function. (gradient descent, optimisation, optimization)

[val grad]=test_func(x)

[x val]=gradient_descent(func,x, varargin)

test_grad_descent.m

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updated almost 3 years ago

Gradient Descent Visualization by simar

This file visualises the working of gradient descent(optimisation algo) program on each iteration. (visualisation, gradient descent, mathematics)

gra_des.m

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updated almost 5 years ago

Linear Regression by michael scheinfeild

linear regressing fit to line in the method of gradient descent for minimizing square error (linear regression, gradient descent, fitting line)

gradient_descent_opt(xi,yi,theta_st,nsteps,mindiff,learnr...

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updated 6 years ago

A very simple and intuitive neural network implementation by Carl Löndahl

Short code and easy to understand. Example data set provided. (backpropagation, neural network, machine learning)

mendez()

neural.m

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