Exercise:Vectorization
From Ufldl
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Now that you have vectorized the code, it is easy to learn larger sets of features on medium sized images. In this part of the exercise, you will use your sparse autoencoder to learn features for handwritten digits from the MNIST dataset. | Now that you have vectorized the code, it is easy to learn larger sets of features on medium sized images. In this part of the exercise, you will use your sparse autoencoder to learn features for handwritten digits from the MNIST dataset. | ||
| - | The MNIST data is available at [http://yann.lecun.com/exdb/mnist/]. Download the file <tt>train-images-idx3-ubyte.gz</tt> and decompress it | + | The MNIST data is available at [http://yann.lecun.com/exdb/mnist/]. Download the file <tt>train-images-idx3-ubyte.gz</tt> and decompress it. After obtaining the source images, we have [[Using the MNIST Dataset | provided functions ]] help you load them up as Matlab matrices. |
The following set of parameters worked well for us to learn good features on the MNIST dataset: | The following set of parameters worked well for us to learn good features on the MNIST dataset: | ||
