I have extracted bias and weight from trained model.

```
print('X = ',X[0,:])
print(type(pinv(Wy)),pinv(Wy).shape)
Wy.detach().numpy()
h1 = torch.matmul(Wy.T,y2_pred-by)
k1 = torch.tensor([math.tanh(h1[i]) for i in range(len(h1))] ) ;
x1 = torch.matmul(Wx.T,k1-bx) ; print('X1 = ',x1)
```

but give this result:

```
X = tensor([-0.7951, -0.0736, 0.8450, 0.8444, 0.8469, -0.9261, -0.9261, 12.0541])
X1 = tensor([ 0.4630, -0.3566, 0.8700, 1.3055, 0.0930, -0.2514, -0.1384, 0.0268]
```

Where is the problem and what are all equations for reproduce the model(x) command.??

Im using:

- One hidden layer
- activation function = tanh
- x=3 h= 6 y = 8