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Diffstat (limited to 'doc/nerv_layer.md')
| -rw-r--r-- | doc/nerv_layer.md | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/doc/nerv_layer.md b/doc/nerv_layer.md index dd991df..b417729 100644 --- a/doc/nerv_layer.md +++ b/doc/nerv_layer.md @@ -15,9 +15,11 @@ __nerv.Layer__ is the base class and most of its methods are abstract. * __nerv.BiasLayer__ inherits __nerv.Layer__, both `#dim_in` nad `#dim_out` are 1. * `BiasParam bias` The bias parameter. * __nerv.SigmoidLayer__ inherits __nerv.Layer__, both `#dim_in` and `#dim_out` are 1. -* __nerv.SoftmaxCELayer__ inherits __nerv.Layer__, `#dim_in` is 2 and `#dim_out` is 1. - * `float total_ce` - * `int total_frams` Records how many frames have passed. +* __nerv.SoftmaxCELayer__ inherits __nerv.Layer__, `#dim_in` is 2 and `#dim_out` is 0. `input[1]` is the input to the softmax layer, `input[2]` is the reference distribution. + * `float total_ce` Records the accumlated cross entropy value. + * `int total_frams` Records how many frames have passed. + * `bool compressed` The reference distribution can be a one-hot format. This feature is enabled by `layer_conf.compressed`. + ##Methods## * __void Layer.\_\_init(Layer self, string id, table global_conf, table layer_conf)__ Abstract method. |