Consider the following table for the connections between input neurons and the hidden layer neurons:

The connection weights from the hidden layer neurons to the output neurons are
− ,6.0 − 3.0 and − ,6.0 for the first, second and third neurons, respectively.
Corresponding threshold value for the output layer is 0.5 and for the hidden layer is 1.8, 0.005 and 0.2 for the first, second and third neurons, respectively.
i) Draw the diagram of the network.
ii) Write the output at each node.
 c) Using diagram, show the difference between feed-forward neural network and
recurrent neural network.

However, I can't draw diagrams directly, but I can guide you through the process of drawing the diagram of the network and explaining the outputs at each node. Additionally, I can describe the difference between feed-forward neural networks (FFNN) and recurrent neural networks (RNN) using text.

### Network Diagram:
- Input Layer: Neurons __________ ________ ____ __________ _______ __________ __________ _______.
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___ _______ ______ ______ ___ _______ ___ ________.
_______ _________ ________ ________ ______ _________ ______ ________ __________.
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