1. Let D denote the set of training examples, ta denote the true target value of an example d in D, where d is represented by feature vector (x1,X2,...,Xn), and oa be the predicted value (i.e. output). Define the output function: f(x1,X2,...Xn) = Wotwix¡+w}x1'+w2x2+w2x2+...+WhXn+WnXn Derive a gradient descent training rule for a single learning unit with the output as defined above. 2

1. Let D denote the set of training examples, ta denote the true target value of an example d in D, where d is represented by feature vector (x1,X2,...,Xn), and oa be the predicted value (i.e. output). Define the output function: f(x1,X2,...Xn) = Wotwix¡+w}x1'+w2x2+w2x2+...+WhXn+WnXn Derive a gradient descent training rule for a single learning unit with the output as defined above. 2

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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