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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Transcribed Image Text: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) = Wotwixi+wiX1+W2X2+w2X2+...+WhXn+WnXn
Derive a gradient descent training rule for a single learning unit with the output as defined above.
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