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## Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Post your solutions to the Nov 15 In-Class Exercise to this thread.
Best, Chris
Post your solutions to the Nov 15 In-Class Exercise to this thread. Best, Chris

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Name: Kunal Deshmukh
for Threshold = 2
Feature Map:

1 0 0 0    0 0 0 0
0 1 0 0    0 0 1 0
0 0 1 0    0 1 0 0
0 0 0 1    0 0 0 0 
No of neurons = 4*4

Last Edited: 15/11/2017
Name: Kunal Deshmukh <nowiki> for Threshold = 2 Feature Map: 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0</nowiki> No of neurons = 4*4

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Feature Map Image 1:
2 0 1 0
0 2 0 1
1 0 2 0
0 1 0 2
Feature Map Image 2:
0 1 1 0
1 1 2 1
1 2 1 1
0 1 1 0
No. of Neurons = 16

Last Edited: 15/11/2017
Feature Map Image 1: {| |- | 2 || 0 || 1 || 0 |- | 0 || 2 || 0 || 1 |- | 1 || 0 || 2 || 0 |- | 0 || 1 || 0 || 2 |} Feature Map Image 2: {| |- | 0 || 1 || 1 || 0 |- | 1 || 1 || 2 || 1 |- | 1 || 2 || 1 || 1 |- | 0 || 1 || 1 || 0 |} No. of Neurons = 16

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Using the identity function as activation
For the 1st image:
[[2,0,1,0],[0,2,0,1],[1,0,2,0],[0,1,0,2]]
For the second image:
[[0,1,1,0],[1,1,2,1],[1,2,1,1],[0,1,1,0]]

Last Edited: 15/11/2017
Using the identity function as activation For the 1st image: [[2,0,1,0],[0,2,0,1],[1,0,2,0],[0,1,0,2]] For the second image: [[0,1,1,0],[1,1,2,1],[1,2,1,1],[0,1,1,0]]

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Feature Map 1:
[[2,0,1,0],[0,2,0,1],[1,0,2,0],[0,1,0,2]]
Feature Map 2:
[[0,1,1,0],[1,1,2,1],[1,2,1,1],[0,1,1,0]]
Number of neurons = (n - k + 1) (m - k + 1), where n =5, n=5, k = 2
Number of neurons = 16

Last Edited: 15/11/2017
Feature Map 1: [[2,0,1,0],[0,2,0,1],[1,0,2,0],[0,1,0,2]] Feature Map 2: [[0,1,1,0],[1,1,2,1],[1,2,1,1],[0,1,1,0]] Number of neurons = (n - k + 1) (m - k + 1), where n =5, n=5, k = 2 Number of neurons = 16

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Name - Krishna Teja Vojjila We get a 4*4 matrix of neurons for each image. Using identity function
Name - Krishna Teja Vojjila We get a 4*4 matrix of neurons for each image. Using identity function ((resource:WhatsApp Image 2017-11-15 at 5.19.38 PM.jpeg|Resource Description for WhatsApp Image 2017-11-15 at 5.19.38 PM.jpeg))

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Feature Map :
Used Identity step function:
Number of neurons : 4*4
Feature Map : Used Identity step function: ((resource:Screen Shot 2017-11-15 at 5.20.31 PM.png|Resource Description for Screen Shot 2017-11-15 at 5.20.31 PM.png)) Number of neurons : 4*4

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

((resource:WhatsApp Image 2017-11-15 at 5.21.17 PM.jpeg|Resource Description for WhatsApp Image 2017-11-15 at 5.21.17 PM.jpeg))

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

Last Edited: 15/11/2017
((resource:20171115_172106.jpg|Resource Description for 20171115_172106.jpg))

## -- Nov 15 In-Class Exercise. - 15/11/2017CS 256 Fall 2017

((resource:WhatsApp Image 2017-11-15 at 17.21.40.jpeg|Resource Description for WhatsApp Image 2017-11-15 at 17.21.40.jpeg))

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