Exercise:Softmax Regression
From Ufldl
(→Step 2: Implement softmaxCost) |
(→Support Code/Data) |
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You will need to modify '''<tt>softmaxCost.m</tt>''' and '''<tt>softmaxPredict.m</tt>''' for this exercise. | You will need to modify '''<tt>softmaxCost.m</tt>''' and '''<tt>softmaxPredict.m</tt>''' for this exercise. | ||
| - | === | + | === Dependencies === |
The following additional files are required for this exercise: | The following additional files are required for this exercise: | ||
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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 also need: | ||
| + | * computeNumericalGradient.m from [[Exercise:Sparse Autoencoder]] | ||
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| + | ''If you have not completed the exercises listed above, we strongly suggest you complete them first.'' | ||
=== Step 0: Initialize constants and parameters === | === Step 0: Initialize constants and parameters === | ||
