jenn
Jacobian-Enhanced Neural Networks (JENN) are fully connected multi-layer perceptrons, whose training process was modified to account for gradient information. Specifically, the parameters are learned by minimizing the Least Squares Estimator (LSE), modified to minimize prediction error of both response values and partial derivatives.
View on Github
Activity
- Latest release
- 3w ago
- Total releases
- 14
- Cadence
- ~33 days
- Last 12 months
- 3
Reach
- Stars
- 10
Details
- License
- MIT
- First release
- Mar 30, 2021
Releases
| Version | Released | |
|---|---|---|
2.1.0
minor
| ||
2.0.1
patch
| ||
2.0.0
major
| ||
1.0.8
patch
| ||
1.0.7
patch
| ||
1.0.6
patch
| ||
1.0.5
patch
| ||
1.0.4
patch
| ||
1.0.3
patch
| ||
1.0.2
patch
| ||
1.0.1
patch
| ||
1.0.0
major
| ||
0.1.0
minor
| ||
0.0.8
initial
|