Is it necessary to divide by sizes[i+1] in the line below

```
`layers = [(torch.rand(sizes[i], sizes[i+1])-0.3)/sizes[i+1]*4 for i in range(n-1)]`
```

if I am not wrong the numbers are going to be between centered around 0 with the same magnitude if you don’t divide it. Also how did we arrive at multiplying that by 4 (sizes[i+1]*4)

```
def init_coeffs():
hiddens = [10, 10] # <-- set this to the size of each hidden layer you want
sizes = [n_coeff] + hiddens + [1]
n = len(sizes)
layers = [(torch.rand(sizes[i], sizes[i+1])-0.3)/sizes[i+1]*4 for i in range(n-1)]
consts = [(torch.rand(1)[0]-0.5)*0.1 for i in range(n-1)]
for l in layers+consts: l.requires_grad_()
return layers,consts
```