Name
Abstract | ||
|---|---|---|
PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easy-to-use yet still powerful algorithms for machine learning tasks, including a variety of predefined environments and benchmarks to test and compare algorithms. Implemented algorithms include Long Short-Term Memory (LSTM), policy gradient methods, (multidimensional) recurrent neural networks and deep belief networks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1756006.1756030 | Journal of Machine Learning Research |
Keywords | DocType | Volume |
Implemented algorithm,deep belief network,policy gradient method,Long Short-Term Memory,powerful algorithm,versatile machine,recurrent neural network,predefined environment | Journal | 11, |
Citations | PageRank | References |
21 | 14.64 | 2 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Schaul | 1 | 916 | 79.40 |
| Justin Bayer | 2 | 157 | 32.38 |
| Daan Wierstra | 3 | 5412 | 255.92 |
| Yi Sun | 4 | 108 | 35.11 |
| Martin Felder | 5 | 56 | 18.59 |
| Frank Sehnke | 6 | 527 | 39.18 |
| Thomas Rückstieß | 7 | 112 | 20.66 |
| Jürgen Schmidhuber | 8 | 17836 | 1238.63 |