I can't load my own dataset!

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Hadeer tawfik
Hadeer tawfik el 7 de Oct. de 2016
Respondida: kinju Prajapati el 11 de En. de 2019
I am having a feature vector of 1X83 and a target matrix of 5X83 and both of them are in .mat format i wanted to creat a dataset that contains them just like this: [ x, t ] = iris_dataset;
so how to create a dataset like iris_dataset?
A little help will be very appreciated please
  3 comentarios
Hadeer tawfik
Hadeer tawfik el 7 de Oct. de 2016
Ok how to use this if i want to run this code:
[x,t] = digit_dataset;
Train an autoencoder with a hidden layer of size 10 and a linear transfer function for the decoder. Set the L2 weight regularizer to 0.001, sparsity regularizer to 4 and sparsity proportion to 0.05.
rng('default')
hiddenSize = 10;
autoenc1 = trainAutoencoder(X,hiddenSize,...
'L2WeightRegularization',0.001,...
'SparsityRegularization',4,...
'SparsityProportion',0.05,...
'DecoderTransferFunction','purelin');
here i want to replace the digit_dataset with my dataset please. so what do you suggest?
sarath chandrika balaji
sarath chandrika balaji el 18 de Sept. de 2017
can u help me in backpropagation code? Sorry,I'm a newbie...!!!

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Respuesta aceptada

Walter Roberson
Walter Roberson el 7 de Oct. de 2016
function [x, t] = digit_dataset
datastruct = load('MatFileThatYourDataIsIn.mat');
x = datastruct.x;
t = datastruct.t;
end
  5 comentarios
Greg Heath
Greg Heath el 8 de Oct. de 2016
I still don't see why you feel it is absolutely necessary for you to have to use the first and last commands, i.e., use a function.
It's just an option. Correct?
Greg

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Más respuestas (1)

kinju Prajapati
kinju Prajapati el 11 de En. de 2019
how to load owndataset ???just like iris_dataset..

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