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Example: a neural network with too many layers may cause issues. Overfitting and how to prevent it are next.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Problem- 1 Create a backpropagation based neural network that learns the XOR function: Train the network using the 4 examples that correspond to the correct outputs. After the learning process is over, generate several points (use at least 0.1 increments) in the 1x1 box and show the shape of the function learned by plotting the positive points. You may use your own plotting/displaying methods or use a spreadsheet after creating the data points with your program. Problem- 2 Create a backpropagation based neural network that learns the y = x2 function. The program should learn from data that is classified as negative or positive, not from x,y pairs given as input. To do this, generate several examples such that y2x2 are positive and y