Based on the provided neural network Python script. please answer the following questions Question: Explain why the data $(x$ and $y)$ in the neural network script is scaled to the range

$0-1.$ What advantages does this scaling provide during the neural network training process?

Question: What is the purpose of the costFunction in the neural network script? How does it

relate to the network's learning process?

Question: What is the role of gradient descent in this neural network training process?

Question: Why is gradient descent considered more effective than a blind search for

optimizing the weights in a neural network?

Question: Based on the neural network script provided, how many input nodes, output

nodes, and hidden layer nodes does the network have?

address key aspects of neural network operation such as data scaling, cost functions,

gradient descent, and parameter optimization, etc.