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| author | Joe Zhao <ztuowen@gmail.com> | 2014-10-10 14:37:44 +0800 |
|---|---|---|
| committer | Joe Zhao <ztuowen@gmail.com> | 2014-10-10 14:37:44 +0800 |
| commit | e3db0d962c6d3ad22c05f9182ae694a1068f086c (patch) | |
| tree | 0094ca841b74dd9d345d7438ea31c9701b7a662a | |
| parent | 0eed0d9c5e7fcc781b66ba278f1c3b2923bdb524 (diff) | |
| download | tnet-e3db0d962c6d3ad22c05f9182ae694a1068f086c.tar.gz tnet-e3db0d962c6d3ad22c05f9182ae694a1068f086c.tar.bz2 tnet-e3db0d962c6d3ad22c05f9182ae694a1068f086c.zip | |
comment update+++
| -rw-r--r-- | src/CuTNetLib/cuBiasedLinearity.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/CuTNetLib/cuBiasedLinearity.h b/src/CuTNetLib/cuBiasedLinearity.h index fd495e9..9ac7a39 100644 --- a/src/CuTNetLib/cuBiasedLinearity.h +++ b/src/CuTNetLib/cuBiasedLinearity.h @@ -19,7 +19,7 @@ namespace TNet { * Error propagation: \f[ E_i = \Sigma_{i=0}^{i=N-1} w_ij e_j \f] * * Weight adjustion: \f[ W_{ij} = (1-D)(w_{ij} - \alpha(1-\mu)x_i e_j - \mu \Delta) \f] - * and fot bias: \f[ {\Beta}_i = {\beta}_i - \alpha (1-\mu) e_i - \mu \Delta \f] + * and fot bias: \f[ \Beta_i = \beta_i - \alpha (1-\mu) e_i - \mu \Delta \f] * where * - D for weight decay => penalizing large weight * - \f$ \alpha \f$ for learning rate |