Q) Consider the following NN below, using the back-propagation algorithm, then: a) Find all the errors in the NN b) Adjust the weight of the first part of the NN Consider a linear activation function...

Q) Consider the following NN below, using the back-propagation algorithm, then:<br>a) Find all the errors in the NN<br>b) Adjust the weight of the first part of the NN<br>Consider a linear activation function and its derivative is equal to (1), while the correct output is<br>equal to [1130; 1790; 635] respectively and a is equal to (0.05).<br>60<br>40<br>20<br>6,<br>

Extracted text: Q) Consider the following NN below, using the back-propagation algorithm, then: a) Find all the errors in the NN b) Adjust the weight of the first part of the NN Consider a linear activation function and its derivative is equal to (1), while the correct output is equal to [1130; 1790; 635] respectively and a is equal to (0.05). 60 40 20 6,

Jun 11, 2022

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Q) Consider the following NN below, using the back-propagation algorithm, then: a) Find all the errors in the NN b) Adjust the weight of the first part of the NN Consider a linear activation function...

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