machine learning computer science Find the learning rules Aw₁, Aw2, Aw3 for the network as defined below.11+e-²1-2₂.Z₁ = W₁X₁ + W₂X2 and Z2 = W3X₁ and y =Note: the inputs are X₁ and X₂; the output is y; the error function is E = (y-t)2; and t is the targetoutput. The learning rules are based on the gradient decent technique as AwДЕ=aw'

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Find the learning rules Aw₁, Aw₂, AW3 for the network as defined below. 1 1+e-21-2₂ Z₁ = W₁X₁ + W2X2 and Z₂ = W3X₁ and y = Note: the inputs are X₁ and X₂; the output is y; the error function is E = (y-t)2; and t is the target output. The learning rules are based on the gradient decent technique as Aw = JE aw -

Find the learning rules Aw₁, Aw₂, AW3 for the network as defined below. 1 1+e-21-2₂ Z₁ = W₁X₁ + W2X2 and Z₂ = W3X₁ and y = Note: the inputs are X₁ and X₂; the output is y; the error function is E = (y-t)2; and t is the target output. The learning rules are based on the gradient decent technique as Aw = JE aw -

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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