10. Consider an FNN with two hidden layers. There are p = 4 input units, 2 units in the first. hidden layer, 3 units in the second hidden layer, and a single output. (a) Draw the model. (b) Write out an expression for f(x), assuming ReLU activation functions for the hidden layers and no activation of the output layer. Be as explicit as you can. (c) How many parameters are there in the model?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 93E
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10. Consider an FNN with two hidden layers. There are p = 4 input units, 2 units in the first.
hidden layer, 3 units in the second hidden layer, and a single output.
(a) Draw the model.
(b) Write out an expression for f(x), assuming ReLU activation functions for the hidden layers
and no activation of the output layer. Be as explicit as you can.
(c) How many parameters are there in the model?
Transcribed Image Text:10. Consider an FNN with two hidden layers. There are p = 4 input units, 2 units in the first. hidden layer, 3 units in the second hidden layer, and a single output. (a) Draw the model. (b) Write out an expression for f(x), assuming ReLU activation functions for the hidden layers and no activation of the output layer. Be as explicit as you can. (c) How many parameters are there in the model?
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