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in-package search v0.2.0
tiny_libs.ai_learning
Backprop
type example = float array * float array
type grads = (Matrix.t * Matrix.t) list
val loss : Net.t -> example list -> float
val gradient : Net.t -> example -> grads
val over : Net.t -> example list -> grads
val step : rate:float -> Net.t -> grads -> Net.t
val learn : ?rate:float -> Net.t -> example list -> Net.t
val numeric : ?epsilon:float -> Net.t -> example list -> grads
val magnitudes : grads -> float list