如何直接修改Julia库Flux中的权重值？

using Flux
using Flux.Data: DataLoader
using Flux.Optimise: update!

model = Chain(
    Dense(10, 20, σ),
    Dense(20, 1)
)

# 初始化权重值
init_params!(model)

data = ...  # 加载数据集，具体方法根据实际情况而定
dataloader = DataLoader(data, batchsize=32, shuffle=true)

loss(x, y) = Flux.mse(model(x), y)
optimizer = ADAM(0.01)

epochs = 10

for epoch in 1:epochs
    for (x, y) in dataloader
        grads = gradient(() -> loss(x, y), params(model))
        update!(optimizer, params(model), grads)
    end
end