package owl

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package owl
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type neuron_typ = Owl_neural_neuron.Make(Owl_dense_ndarray.S).Normalisation.neuron_typ = {
  1. mutable axis : int;
  2. mutable beta : t;
  3. mutable gamma : t;
  4. mutable mu : t;
  5. mutable var : t;
  6. mutable decay : t;
  7. mutable training : bool;
  8. mutable in_shape : int array;
  9. mutable out_shape : int array;
}
val create : ?training:bool -> ?decay:float -> ?mu:arr -> ?var:arr -> int -> neuron_typ
val connect : int array -> neuron_typ -> unit
val init : neuron_typ -> unit
val reset : neuron_typ -> unit
val mktag : int -> neuron_typ -> unit
val mkpar : neuron_typ -> t array
val mkpri : neuron_typ -> t array
val mkadj : neuron_typ -> t array
val update : neuron_typ -> t array -> unit
val copy : neuron_typ -> neuron_typ
val run : t -> neuron_typ -> t
val to_string : neuron_typ -> string
val to_name : unit -> string
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