Exercise:Vectorization
From Ufldl
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The following additional files are required for this exercise: | The following additional files are required for this exercise: | ||
* [http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz MNIST Dataset (Training Images)] | * [http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz MNIST Dataset (Training Images)] | ||
| + | * [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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As with the first problem, the autoencoder should learn edge features. Your code should run in under 10 minutes on a reasonably fast machine. If it takes significantly longer, check your code and ensure that it is vectorized. | As with the first problem, the autoencoder should learn edge features. Your code should run in under 10 minutes on a reasonably fast machine. If it takes significantly longer, check your code and ensure that it is vectorized. | ||
| - | [[Category:Exercises]] | + | [[Category:Exercises]] --> |
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| + | {{Vectorized Implementation}} | ||
