This is a basic project aimed at recognizing hand-written digits using Matlab.
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Updated
Apr 19, 2016 - MATLAB
This is a basic project aimed at recognizing hand-written digits using Matlab.
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Neural Network experiments in MATLAB
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
Implementation of 1st and 2nd order optimization (gradient descent and Newton's method)
Train a Logistic Regression model using Gradient Descent or Newton's Method
Implement a linear regression algorithm and use it with a real world dataset. The dataset contains a collection of real estate listings in San Luis Obispo county.
Computational Methods for Optimization
Lasso is implemented on CIFAR-10 dataset via Co-ordinate Gradient descent algorithm.
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
Testing and analyzing gradient descent algorithm by training a 400X400 neural net to invert a 20px image.
Andrew Ng Machine Learning Course Coursera
Exercises for the Coursera Machine Learning - Andrew Ng
The repository contains the MATLAB codes for the Implementation of pick and place tasks with the UR5 robot using Inverse Kinematics, Resolved Rate control and Gradient Descent control algorithms.
One of the most useful machine learning class on Coursera. Taught by Andrew Ng.
A simple Linear Regression exercise
Machine_Learning_Stanford_Ng
This routine is implemented in Matlab
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