Discovering Knowledge in Data: Adjust the weights W0B, W1B, W2B, and W3B

in /by

Discovering Knowledge in Data: Adjust the weights W0B, W1B, W2B, and W3B

Textbook:

Discovering Knowledge in Data: An introduction to Data Mining, Daniel T. Larose, John Wiley

Chapter 7, Page 146, #7, 8, and 10

Questions:

1:) Adjust the weights W0B, W1B, W2B, and W3B from the example of back-propagation in the text?

2:) Refer to the previous problem. Show that the adjusted weights result in a smaller prediction error?

3:) Describe the benefits and drawbacks of using large or small values for the learning rate?

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