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TASK - 4 ( Combination of the BASICS of ANNs and loops, being powerful enhancement of the simulation methods ) Consider recursive feedforward deep ANN

TASK-4(Combination of the "BASICS" of ANNs and loops, being powerful
enhancement of the simulation methods)
Consider recursive feedforward deep ANN with one input layer, 800 hidden layers and one
output layer. [An example of the recursive ANN with only THREE hidden layersis shown in, Yes i need 2 things here (1) is select one answer here and (2) is write Matlab Scripts for Task 4, only i need this 2 things
Figure.]
Assume, the same sets of weights and biases for ALL nodes of the ANN.
Use the following data (pay attention to the signs in numbers):
recursive given weights: w11=0.3;w12=0.6;w21=0.2;w22=0.8;
* recursive given biases: b1=-15;b2=5;
given inputs: x1=1;2=2.
For simplicity, assume, that the recursive activation function for each node is an identity
function, i.e. a linear function with UNIT coefficient: g(x)=x.
Determine the value of y2- the second output of this deep ANN.
Figure-4: An example of the recurrent ANN with one input layer, only THREE hidden
layers and one output layer. Note, that this is an illustration only, as in case of your
assignment task, the number of hidden layers is much larger!
PLEASE, READ ADDITIONAL RECOMMENDATIONS AND ENTER YOUR
ANSWER for TASK-4 BELOW:
Select the choice (in the multiple choice answer fields below), most closely
matching your numerical answer.
-500
-450
-304
-275
-107
120
SUBMIT YOUR MATLAB SCRIPT FOR Task-4 AS ONE (SINGLE) FILE INTO THE
WINDOW BELOW, using 'cut-and-paste' method, cutting the script from your *.M
file. The first line should have: double percentage, space, and your student
number with 's', similar to the pattern '%%s3456789'
(In case you were not able to complete the script, enter a line with your student number,
similar to the pattern: '%% s3456789 Task NOT COMPLETED')
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