package tensorflow

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type 'a optimizer = learning_rate:[ `float ] Node.t -> ?varsf:[ `float ] Node.t list -> ?varsd:[ `double ] Node.t list -> 'a Node.t -> Node.p list
val gradient_descent_minimizer : [< `float | `double ] optimizer
val momentum_minimizer : momentum:[ `float ] Node.t -> [< `float | `double ] optimizer
val adam_minimizer : ?beta1:[ `float ] Node.t -> ?beta2:[ `float ] Node.t -> ?epsilon:[ `float ] Node.t -> [< `float | `double ] optimizer
val adagrad_minimizer : ?init:[ `float ] Node.t -> [< `float | `double ] optimizer
val rmsprop_minimizer : ?decay:[ `float ] Node.t -> ?momentum:[ `float ] Node.t -> ?epsilon:[ `float ] Node.t -> [< `float | `double ] optimizer