Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Show the output for each node during the forward pass.

The output of C is (round to 3 decimals): 

The output of D is (round to 3 decimals): 

 
 
Consider a two-layer neural network with two inputs a and b, one hidden unit c, and one
output unit d. This network has five weights (wacs Wbc, Woco Wcd» Wod), where woc and
represent the weights associated with bias inputs. Assume that:
(1) all the weights are initialized to 0.1;
(2) the learning rate is 0.3;
(3) the input for the two biases is -1; and
(4) c and d are sigmoid units. Use the following approximate values for o where necessary
Wod
below:
|0(x)
-0.5 <
-2.5 < x <
-0. 05 < < 0
< - 2.5
- 0.05
0.001
0.20
0.49
0.5
0 < x < 0. 05
0. 05 < x < 2.5
2. 5 < x < 5.0
0.51
0.80
0.999
Consider the following training example for the network described above:
a = 1, b = 0, d = 1
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Transcribed Image Text:Consider a two-layer neural network with two inputs a and b, one hidden unit c, and one output unit d. This network has five weights (wacs Wbc, Woco Wcd» Wod), where woc and represent the weights associated with bias inputs. Assume that: (1) all the weights are initialized to 0.1; (2) the learning rate is 0.3; (3) the input for the two biases is -1; and (4) c and d are sigmoid units. Use the following approximate values for o where necessary Wod below: |0(x) -0.5 < -2.5 < x < -0. 05 < < 0 < - 2.5 - 0.05 0.001 0.20 0.49 0.5 0 < x < 0. 05 0. 05 < x < 2.5 2. 5 < x < 5.0 0.51 0.80 0.999 Consider the following training example for the network described above: a = 1, b = 0, d = 1
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