Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:category |
gptkb:software
gptkb:machine_learning_tool |
| gptkbp:developer |
gptkb:David_Duvenaud
gptkb:Dougal_Maclaurin gptkb:Matthew_Johnson |
| gptkbp:feature |
differentiates native Python and NumPy code
supports higher-order derivatives supports reverse-mode differentiation |
| gptkbp:influenced |
gptkb:JAX
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
automatic differentiation
|
| gptkbp:releaseYear |
2015
|
| gptkbp:repository |
https://github.com/HIPS/autograd
|
| gptkbp:usedFor |
gptkb:machine_learning
deep learning |
| gptkbp:bfsParent |
gptkb:JAX
|
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
Autograd
|