4. (Bonus Question) Update and report the layer 1 weights (w₁,W2, W3,W4) of the network and estimatethe improvement to the error.InputX₁=5PredictedOutputWs = 0Y₁OOO OW6=0W₁=0X₂=2W²₂=0Layer 1W3 = 0W4 = 0Layer 2Y₂W₂=0Wg=0OFigure 1: A Deep Neural Network designed for dog or human detectionRealOutputYA1ŷ

W1=0.5 W3= 1 The error is: Error = (0.5 - 0)2 + (1 - 0)2 + (0 - 0)2 + (0 - 0)2 = 0.5 The improvement…

4. (Bonus Question) Update and report the layer 1 weights (w₁,w2,w3,W4) of the network and estimate the improvement to the error. Input X₁=5 X₂=2 W₁=0 W/²₂=0 W3 = 0 W₁ = 0 Layer 1 Y/₁ Y₂ Ws = 0 W6=0 w₂=0 W₁=0 Layer 2 Y3 Y₁ Predicted Output Real Output 1 0 9 Figure 1: A Deep Neural Network designed for dog or human detection

4. (Bonus Question) Update and report the layer 1 weights (w₁,w2,w3,W4) of the network and estimate the improvement to the error. Input X₁=5 X₂=2 W₁=0 W/²₂=0 W3 = 0 W₁ = 0 Layer 1 Y/₁ Y₂ Ws = 0 W6=0 w₂=0 W₁=0 Layer 2 Y3 Y₁ Predicted Output Real Output 1 0 9 Figure 1: A Deep Neural Network designed for dog or human detection

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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