Module Neuron.Recurrent

type neuron_typ = {
  1. mutable whh : Optimise.Algodiff.t;
  2. mutable wxh : Optimise.Algodiff.t;
  3. mutable why : Optimise.Algodiff.t;
  4. mutable bh : Optimise.Algodiff.t;
  5. mutable by : Optimise.Algodiff.t;
  6. mutable h : Optimise.Algodiff.t;
  7. mutable hiddens : int;
  8. mutable act : Activation.typ;
  9. mutable init_typ : Init.typ;
  10. mutable in_shape : int array;
  11. mutable out_shape : int array;
}

Neuron type definition.

val create : ?time_steps:int -> ?inputs:int -> int -> int -> Activation.typ -> Init.typ -> neuron_typ

Create the neuron.

val connect : int array -> neuron_typ -> unit

Connect this neuron to others in a neural network.

val init : neuron_typ -> unit

Initialise the neuron and its parameters.

val reset : neuron_typ -> unit

Reset the parameters in a neuron.

val mktag : int -> neuron_typ -> unit

Tag the neuron, used by Algodiff module.

val mkpar : neuron_typ -> Optimise.Algodiff.t array

Assemble all the parameters in an array, used by Optimise module.

val mkpri : neuron_typ -> Optimise.Algodiff.t array

Assemble all the primial values in an array, used by Optimise module.

val mkadj : neuron_typ -> Optimise.Algodiff.t array

Assemble all the adjacent values in an array, used by Optimise module.

val update : neuron_typ -> Optimise.Algodiff.t array -> unit

Update parameters in a neuron, used by Optimise module.

val copy : neuron_typ -> neuron_typ

Make a deep copy of the neuron and its parameters.

Execute the computation in this neuron.

val to_string : neuron_typ -> string

Convert the neuron to its string representation. The string is often a summary of the parameters defined in the neuron.

val to_name : unit -> string

Return the name of the neuron.