We value your privacy
This site uses cookies to improve your browsing experience, analyze site traffic, and show personalized content.
| $0.750.04% | |
| $0.490.03% | |
| $0.390.02% | |
| $0.270.01% | |
| $0.150.01% | |
| $0.060.00% | |
| $0.050.00% | |
| $0.030.00% | |
| $0.000.00% | |
| $0.000.00% | |
| $0.000.00% | |
| $0.000.00% |
This is an implementation of two machine learning algorithms, Contrastive Divergence and Back-propagation. Contrastive Divergence is used to pre-train each layer of the Neural Network as a Restricted Boltzmann Machine. After the RBM training the weights should approximate the problem space represented by the dataset. Back-propagation is then used to classify the data.