forked from jperla/neural
-
Notifications
You must be signed in to change notification settings - Fork 0
bestdecoder/neural
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
This is a rewrite of the tutorial about unsupervised feature learning and deep learning in Python using numpy and scipy. Tutorial: https://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial I use numpy for matrices, and scipy.optimize package for the L-BFGS minimization algorithm. Deep learning learns low and high-level features from large amounts of unlabeled data, improving classification on different, labeled, datasets. Deep learning can achieve an accuracy of 98% on the MNIST dataset.
About
neural networks, sparse encoders, and recursive auto encoder sin python
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 44.1%
- MATLAB 37.1%
- Shell 14.1%
- Java 4.0%
- Other 0.7%