Multilayer Neural Network: Example

$$ A neural network with the weights shown below.

$$ The activation function is sigmoid function.

$$ We are trying to distinguish between nails and screws.

$$ Two input vectors that represent features are defined as follows:

$$ T$1=[0\mathrm{.}6,0\mathrm{.}1]$

$$ T$2=[0\mathrm{.}2,0\mathrm{.}3]$

$$ Do the forward propagation of the signals in the network using T$1$ and T$2$

seperately and classify the data.