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author | Joe Zhao <ztuowen@gmail.com> | 2014-10-10 14:45:29 +0800 |
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committer | Joe Zhao <ztuowen@gmail.com> | 2014-10-10 14:45:29 +0800 |
commit | d3bb2fc8ea497a9f600562bc6b458f1581640fa1 (patch) | |
tree | bbab9766d512540f27ab8548e12c42e8cfcd64c1 /src/CuTNetLib/cuBiasedLinearity.h | |
parent | 8ac255da2fdc8a74b197f47c1810263ad0113a3c (diff) | |
download | tnet-d3bb2fc8ea497a9f600562bc6b458f1581640fa1.tar.gz tnet-d3bb2fc8ea497a9f600562bc6b458f1581640fa1.tar.bz2 tnet-d3bb2fc8ea497a9f600562bc6b458f1581640fa1.zip |
Diffstat (limited to 'src/CuTNetLib/cuBiasedLinearity.h')
-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 157697a..3d5a9f0 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 for bias: \f[ \Beta_i = \beta_i - \alpha (1-\mu) e_i - \mu \Delta \f] + * and for bias: \f[ B_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 |