Q4/ The structure of a neural network consists of [2:3:2]. It is trained using a BPA. The weights and biases of a hidden layer are: W = 3 bn = - 1²/31 While the weights and biases of the output layer are: -2 W₁ = 1-17²³ 2² ²1. b.- [³3] = Determine the MSE at the first attrition when the desired output about [0,1], if the input values are [0.9, 0.1).
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![Q4/ The structure of a neural network consists of [2:3:2]. It is trained using a BPA. The
weights and biases of a hidden layer are:
Wh = 3
While the weights and biases of the output layer are:
bh=
- 1²/31
Wo=
--[7²2²2²31₁ b. - [1³3]
=
Determine the MSE at the first attrition when the desired output about [0,1], if the input
values are [0.9, 0.1).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5794733f-a0a8-4236-9348-19860d3baf23%2Fb9a31524-05be-462a-82ec-cd602b40c9a3%2Fuca2mc_processed.jpeg&w=3840&q=75)
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