Hi,

I am trying to display gradients of weights and biases in each layer of a multi layer network as below:

```
f = rand(2,10)
y = rand(10)
dims = [2, 4, 2, 1]
layers = [Dense(dims[i], dims[i+1], Flux.relu) for i in 1:length(dims)-1];
m = Chain(layers...)
L(x, y) = Flux.Losses.mse(m(x), y)
gs = gradient(() -> L(f, y), ps)
```

I got like below:

`Grads(...)`

But how to see the gradient of each layer?

For a single layer, I could see gradients as gs[W]… But this is not working multilayer… How to solve this?

Manu