Skip to content

Some code for the Digits competition at Kaggle, incl. pylearn2's maxout

License

Notifications You must be signed in to change notification settings

zygmuntz/kaggle-digits

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Code for the Digit Recognizer competition at Kaggle

In this folder, kernel approximation code from Paul Mineiro. In maxout, maxout code from Pylearn2 for 98.3% accuracy.

Paul Mineiro's cosplay

Paul Mineiro published some kernel approximation code, dubbed cosplay for use with MNIST. Here's both the original and a version modified to output predictions for the Kaggle Digit Recognizer competition, which is also based on MNIST.

As mentioned in the article, you'll need Maxent and L-BFGS for the logistic regression part.

Accuracy on Digits is similar to accuracy on MNIST: around 97.7%.

About

Some code for the Digits competition at Kaggle, incl. pylearn2's maxout

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published