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PCA_based Face Recognition System
PCA_based Face Recognition System
 
 
data
data
 
 
ex6DataEmails
ex6DataEmails
 
 
ex6DataPrepared
ex6DataPrepared
 
 
minFunc
minFunc
 
 
mnist
mnist
 
 
mnistHelper
mnistHelper
 
 
pca_2d
pca_2d
 
 
pca_exercise
pca_exercise
 
 
softmax_exercise
softmax_exercise
 
 
sparseae_exercise
sparseae_exercise
 
 
stl_exercise
stl_exercise
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
GDA.m
GDA.m
 
 
Gradient_descent.m
Gradient_descent.m
 
 
Logistic_Regression.m
Logistic_Regression.m
 
 
Multivariate_Linear.m
Multivariate_Linear.m
 
 
Naive_Bayes.m
Naive_Bayes.m
 
 
Newton_Method.m
Newton_Method.m
 
 
README.md
README.md
 
 
Supervised_learning.m
Supervised_learning.m
 
 
logistic_grad_ascent.m
logistic_grad_ascent.m
 
 
multi_normal.m
multi_normal.m
 
 
normal_equation.m
normal_equation.m
 
 
run2.m
run2.m
 
 
run3.m
run3.m
 
 
sigmoid.m
sigmoid.m
 
 
weights.jpg
weights.jpg
 
 

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Matlab

tittle: fitting a straight line problem description: give you 100 points,respectively,fitting a straight line with gradient descent and normal equation method in two-dimensional and three-dimensional space

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fitting a straight line

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