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| -rw-r--r-- | doc/nerv_layer.md | 19 |
1 files changed, 14 insertions, 5 deletions
diff --git a/doc/nerv_layer.md b/doc/nerv_layer.md index 272ffd8..dd991df 100644 --- a/doc/nerv_layer.md +++ b/doc/nerv_layer.md @@ -4,12 +4,20 @@ Part of the [Nerv](../README.md) toolkit. ##Description## __nerv.Layer__ is the base class and most of its methods are abstract. ###Class hierarchy and their members### -* __nerv.AffineLayer__ inherits __nerv.Layer__. +* __nerv.Layer__. + * `table dim_in` It specifies the dimensions of the inputs. + * `table dim_out` It specifies the dimensions of the outputs. + * `string id` ID of this layer. + * `table gconf` Stores the `global_conf`. +* __nerv.AffineLayer__ inherits __nerv.Layer__, both `#dim_in` and `#dim_out` are 1. * `MatrixParam ltp` The liner transform parameter. * `BiasParam bp` The bias parameter. - * `table dim_in` should be of length 1. - * `table dim_out` should be of length 1. - +* __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. ##Methods## * __void Layer.\_\_init(Layer self, string id, table global_conf, table layer_conf)__ Abstract method. @@ -30,5 +38,6 @@ Calculate the error on the inputs and store them in `next_bp_err`. * __void Layer.check_dim_len(int len_in, int len_out)__ Check whether `#self.dim_in == len_in` and `#self.dim_out == len_out`, if violated, an error will be posted. * __void Layer.get_params(Layer self)__ -Abstract method. +Abstract method. +The layer should return a list containing its parameters. |