Reputation: 588
I've developed an Artificial Neural Network in C++ for an assignment and I was wondering if anyone knew of any multiple output data sets that I could use to test my network? I'm trying to prove that a modification I've done causes the network to perform better with a wide range of data sets.
I've tried a few sites but none of them state the number of outputs leading me to assume that they all have one output.
Upvotes: 2
Views: 671
Reputation: 16124
UCI machine learning repository currently maintain 235 data sets as a service to the machine learning community.
A large percentage of them contains multiple types of labels, e.g.,
WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING
unacc, acc, good, vgood
Upvotes: 1
Reputation: 698
MNIST is a standard 10-class dataset of 20x20 pixel images of handwritten digits (0 - 9). You can find the dataset (along with performance results from various classifiers, including neural nets) at http://yann.lecun.com/exdb/mnist/
Upvotes: 0