How i can load and using file with type .data for dataset for training and testing of Neural network?
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Ady
il 6 Mar 2016
Modificato: Walter Roberson
il 20 Set 2016
Hi all.
I want to make project for letter recognition data using neural network. I found this dataset: https://archive.ics.uci.edu/ml/datasets/Letter+Recognition but, i don't know how to load and using first 16000 items for training and the remaining 4000 for testing of Neural network from this .data file.
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Greg Heath
il 7 Mar 2016
BEFORE GETTING INVOLVED WITH LARGE EXTERNAL SOURCES OF DATA, FAMILIARIZE YOURSELF WITH PATTERNNET
HELP PATTERNNET
DOC PATTERNNET
AND MATLAB CLASSIFICATION DATA EXAMPLES
HELP NNDATASETS
DOC NNDATASETS
HTH, GREG
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Walter Roberson
il 6 Mar 2016
fid = fopen('TheDataset.data', 'rt');
num_attrib = 16;
fmt = ['%s', repmat('%f', 1, num_attrib)];
datacell = textscan(fid, fmt, 'Delimiter', ',', 'CollectOutput', 1);
fclose(fid);
which_letter = datacell{1};
attribs = datacell{2};
target_codes = which_letter - 'A' + 1;
Then one way of dividing the data would be
train_set = attribs(1:end-4000, :);
train_targets = target_codes(1:end-4000);
test_set = attribs(end-3999:end, :);
test_targets = target_codes(end-3999:end);
This is probably not what you would use in practice in the Neural Network Toolbox: you would normally program it in terms of parameters; see http://www.mathworks.com/help/nnet/ug/divide-data-for-optimal-neural-network-training.html
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Walter Roberson
il 7 Mar 2016
You might need to transpose train_set . I have a hard time keeping straight whether train() wants the data for any one sample to run across the rows or down the columns.
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Machine Learning Enthusiast
il 20 Set 2016
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/175072/image.png)
OUTPUT of above code. But where is the training accuracy?
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