Hi Everyone,

I would like to know how I can manually calculate for example the mean over an array of gradients of a neural network. I have the following setup :

- In the training loop I calculate the gradient of the loss

```
grad = Flux.gradient((m) -> abs2(y[i] - m(x[i])), net)[1]
```

- at the end I want to have for example N gradients and compute the mean over these before i do the update of the network parameters. How can I perform this computation given that the gradients are computed as above.

Thanks.