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Convolutional Neural Networks convolve a given input matrix X with a small matrix or filter/kernel F resulting in Z = X * F. The new matrix Z is then passed into a ReLU (rectified linear activation function) resulting in Y = max(0,Z). Given X = 3 11 2 1 |13 7 and F 1 -1 Find Y (a 2x2 matrix). Show your work.

Convolutional Neural Networks convolve a given input matrix X with a small matrix or filter/kernel F resulting in Z = X * F. The new matrix Z is then passed into a ReLU (rectified linear activation function) resulting in Y = max(0,Z). Given X = 3 11 2 1 |13 7 and F 1 -1 Find Y (a 2x2 matrix). Show your work.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Convolutional Neural Networks convolve a given input matrix X with a small matrix or filter/kernel F resulting in Z = X * F. The new matrix Z is then passed into a ReLU (rectified linear activation function) resulting in Y = max(0,Z). Given X = 4 11 1 8 2 13 and F Find Y (a 2x2 matrix). Show your work.
Transcribed Image Text:Convolutional Neural Networks convolve a given input matrix X with a small matrix or filter/kernel F resulting in Z = X * F. The new matrix Z is then passed into a ReLU (rectified linear activation function) resulting in Y = max(0,Z). Given X = 4 11 1 8 2 13 and F Find Y (a 2x2 matrix). Show your work.
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