optimizer_adam: Create an Adam optimizer

In ggmlR: 'GGML' Tensor Operations for Machine Learning

Create an Adam optimizer

Description

Create an Adam optimizer

Usage

optimizer_adam(params, lr = 0.001, beta1 = 0.9, beta2 = 0.999, eps = 1e-08)

Arguments

params	Named list of ag_param tensors
lr	Learning rate (default 1e-3)
beta1	First moment decay (default 0.9)
beta2	Second moment decay (default 0.999)
eps	Stability constant (default 1e-8)

Value

An optimizer environment

Examples

w <- ag_param(matrix(runif(4), 2, 2))
opt <- optimizer_adam(list(w = w), lr = 1e-3)

ggmlR documentation built on July 14, 2026, 1:08 a.m.