Using the MNIST Dataset
From Ufldl
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=== Usage === | === Usage === | ||
| - | The image and label data is stored in a binary format described on the website. For your convenience, we have provided two MATLAB helper functions for extracting the data. These functions are available at | + | The image and label data is stored in a binary format described on the website. For your convenience, we have provided two MATLAB helper functions for extracting the data. These functions are available at http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip. |
As an example of how to use these functions, you can check the images and labels using the following code: | As an example of how to use these functions, you can check the images and labels using the following code: | ||
<syntaxhighlight> | <syntaxhighlight> | ||
% Change the filenames if you've saved the files under different names | % Change the filenames if you've saved the files under different names | ||
| + | % On some platforms, the files might be saved as | ||
| + | % train-images.idx3-ubyte / train-labels.idx1-ubyte | ||
images = loadMNISTImages('train-images-idx3-ubyte'); | images = loadMNISTImages('train-images-idx3-ubyte'); | ||
labels = loadMNISTLabels('train-labels-idx1-ubyte'); | labels = loadMNISTLabels('train-labels-idx1-ubyte'); | ||
% We are using display_network from the autoencoder code | % We are using display_network from the autoencoder code | ||
| - | display_network | + | display_network(images(:,1:100)); % Show the first 100 images |
disp(labels(1:10)); | disp(labels(1:10)); | ||
</syntaxhighlight> | </syntaxhighlight> | ||
