Exercise:Self-Taught Learning
From Ufldl
(→Step Three: Training the logistic regression model) |
(→Support Code/Data) |
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* [http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz MNIST Dataset (Training Labels)] | * [http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz MNIST Dataset (Training Labels)] | ||
* [[Using the MNIST Dataset | Support functions for loading MNIST in Matlab ]] | * [[Using the MNIST Dataset | Support functions for loading MNIST in Matlab ]] | ||
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| + | You will need your code from the following exercises: | ||
* [[Exercise:Sparse Autoencoder]] | * [[Exercise:Sparse Autoencoder]] | ||
* [[Exercise:Vectorization]] | * [[Exercise:Vectorization]] | ||
* [[Exercise:Softmax Regression]] | * [[Exercise:Softmax Regression]] | ||
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| + | ''If you have not completed the exercises listed above, we strongly suggest you complete them first.'' | ||
===Step One: Generate the input and test data sets=== | ===Step One: Generate the input and test data sets=== | ||
