comment update+++++HEADmasterdebug

2 files changed, 2 insertions, 2 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
diff --git a/src/CuTNetLib/cuUpdatableBias.h b/src/CuTNetLib/cuUpdatableBias.h
index 313970f..d557173 100644
--- a/src/CuTNetLib/cuUpdatableBias.h
+++ b/src/CuTNetLib/cuUpdatableBias.h
@@ -19,7 +19,7 @@ namespace TNet {
    * Error propagation: \f[ E_i = e_i \f]
    *
    * Weight adjust:
-   * for bias: \f[ {\Beta}_i = {\beta}_i - \alpha (1-\mu) e_i - \mu \Delta \f]
+   * 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