i. How many neurons are required in cach layer? ii. What are the dimensions of the first-layer and second-layer weight matrices? i. What kinds of transfer functions can be used in each layer? iv. Are biases required in either layer? E2.5 Consider the following neuron. General Neuron Input a=f(wp+b) Figure P15.1 General Neuron Sketch the neuron response (plot a versus p for -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
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i. How many neurons are required in each layer?
ii. What are the dimensions of the first-layer and second-layer weight
matrices?
iii. What kinds of transfer functions can be used
each layer?
iv. Are biases required in either layer?
E2.5 Consider the following neuron.
Input
General Neuron
a=f(wp+b)
Figure P15.1 General Neuron
Sketch the neuron response (plot a versus p for -2<p<2) for the following
савен,
i. w = 1,b = 1,f = hardlims.
ii. w = -1, b = 1,/ = hardlims.
iii. w = 2, b = 3, f = purelin.
iv. w = 2, b = 3, f = sarlins.
v. w = -2, b = -1,/= poslin.
E2.6 Consider the following neural network.
Input
Sat. Linear Layer
Linear Layer
w.
a
w.
b',
a'- satlin(W'p+b')
a- purelin(W'a'+b')
w = 2, w, = 1, b; = 2, bị = -1, w, = 1, w, = -1, 6; = o
Sketch the following responses (plot the indicated variable versus p for
-3 <p<3).
i. n.
ii. aj.
ii. n
iv. a.
v. n.
vi. af.
Transcribed Image Text:i. How many neurons are required in each layer? ii. What are the dimensions of the first-layer and second-layer weight matrices? iii. What kinds of transfer functions can be used each layer? iv. Are biases required in either layer? E2.5 Consider the following neuron. Input General Neuron a=f(wp+b) Figure P15.1 General Neuron Sketch the neuron response (plot a versus p for -2<p<2) for the following савен, i. w = 1,b = 1,f = hardlims. ii. w = -1, b = 1,/ = hardlims. iii. w = 2, b = 3, f = purelin. iv. w = 2, b = 3, f = sarlins. v. w = -2, b = -1,/= poslin. E2.6 Consider the following neural network. Input Sat. Linear Layer Linear Layer w. a w. b', a'- satlin(W'p+b') a- purelin(W'a'+b') w = 2, w, = 1, b; = 2, bị = -1, w, = 1, w, = -1, 6; = o Sketch the following responses (plot the indicated variable versus p for -3 <p<3). i. n. ii. aj. ii. n iv. a. v. n. vi. af.
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