Exercise:Self-Taught Learning

From Ufldl

Jump to: navigation, search
(Changed verification of data set)
m (Step One: Generate the input and test data sets: Rephrased data set counts)
Line 13: Line 13:
Download and decompress <tt>stl_exercise.zip</tt>, which contains starter code for this exercise. Additionally, you will need to download the datasets from the MNIST Handwritten Digit Database for this project.
Download and decompress <tt>stl_exercise.zip</tt>, which contains starter code for this exercise. Additionally, you will need to download the datasets from the MNIST Handwritten Digit Database for this project.
-
To separate the the cases, you will need to fill in <tt>filterData.m</tt>, which should return a subset of the data set containing examples with labels within a certain bound. After implementing this function, run this step. To test your function, the script will output the number of examples in the STL and the supervised training data set, which should be 30596 and 60000 respectively.
+
To separate the the cases, you will need to fill in <tt>filterData.m</tt>, which should return a subset of the data set containing examples with labels within a certain bound. After implementing this function, run this step. To test your function, the script will output the number of examples in the supervised training and the STL training data set, which should be 60000 and 30596 respectively.
===Step Two: Train the sparse autoencoder===
===Step Two: Train the sparse autoencoder===

Revision as of 19:00, 28 April 2011

Personal tools