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Problem#1 The following neural network is described in the class notes. x₁ -0.1 O x₂ = 0.2 Activation Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu W₁ -0.15 a₁ 0.588 ? ? ? W₂ = 0.05 b₁ = 0.33 %1 a₂ = f(z₁) = A₂ = = f(Z₂) Z₁ = (x₁W₁) + (x₂ =W₂) + b₂ Z₁ (0.10.15) + (0.2-0.05) + 0.33 Z₂ = (a₂ Z₂ = (0.588 az 0.684 ? ? ? a₁ Z₁ = 0.355 1 1+ e-(0.355) W₂) + b₂ 0.36) +0.56 W₂0.36 0.772= ܕܐ 1 1+ e-(0.772) b₂-0.56 = 0.588 = 0.684 %2 For the neural network described above, compute the value of the outputs (a, and a₂) if we change the sigmoid activation to the following 3 functions. Write TensorFlow code to compute your answer. Activation Function 1 a₁ 1+e-²₁ 1 1+e-²₂ a₂ =

Problem#1 The following neural network is described in the class notes. x₁ -0.1 O x₂ = 0.2 Activation Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu W₁ -0.15 a₁ 0.588 ? ? ? W₂ = 0.05 b₁ = 0.33 %1 a₂ = f(z₁) = A₂ = = f(Z₂) Z₁ = (x₁W₁) + (x₂ =W₂) + b₂ Z₁ (0.10.15) + (0.2-0.05) + 0.33 Z₂ = (a₂ Z₂ = (0.588 az 0.684 ? ? ? a₁ Z₁ = 0.355 1 1+ e-(0.355) W₂) + b₂ 0.36) +0.56 W₂0.36 0.772= ܕܐ 1 1+ e-(0.772) b₂-0.56 = 0.588 = 0.684 %2 For the neural network described above, compute the value of the outputs (a, and a₂) if we change the sigmoid activation to the following 3 functions. Write TensorFlow code to compute your answer. Activation Function 1 a₁ 1+e-²₁ 1 1+e-²₂ a₂ =

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Please help step by step with explanation for tensorflow code with final code for understanding. Thank you

Problem#1 The following neural network is described in the class notes. ₁0.1 O x₂ = 0.2 Activation a₁ Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu W1 0.15 0.588 ? ? ? - W₂ = 0.05 b₁ = 0.33 a₁ = f(²₁) = %1 a₂ = f(Z₂) Z₁ = (x₁ W₁) + (x₂ * W₂) + b₂ Z₁ (0.1 0.15) + (0.2 0.05) + 0.33 * Z₁ = 0.355 1 Z₂ = (a₂ Z₂ = (0.588 az 0.684 ? ? ? a₁ 1+ e-(0.355) M W₂0.36 Z₂ = 0.772 1 1+ e-(0.772) = 0.588 W₂) + b₂ 0.36) + 0.56 b₂ - 0.56 0.684 1 az For the neural network described above, compute the value of the outputs (a, and a₂) if we change the sigmoid activation to the following 3 functions. Write TensorFlow code to compute your answer. Activation Function 1 a₁ = 1+e-²₁ 1 1+e-²₂ 02 =
Transcribed Image Text:Problem#1 The following neural network is described in the class notes. ₁0.1 O x₂ = 0.2 Activation a₁ Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu W1 0.15 0.588 ? ? ? - W₂ = 0.05 b₁ = 0.33 a₁ = f(²₁) = %1 a₂ = f(Z₂) Z₁ = (x₁ W₁) + (x₂ * W₂) + b₂ Z₁ (0.1 0.15) + (0.2 0.05) + 0.33 * Z₁ = 0.355 1 Z₂ = (a₂ Z₂ = (0.588 az 0.684 ? ? ? a₁ 1+ e-(0.355) M W₂0.36 Z₂ = 0.772 1 1+ e-(0.772) = 0.588 W₂) + b₂ 0.36) + 0.56 b₂ - 0.56 0.684 1 az For the neural network described above, compute the value of the outputs (a, and a₂) if we change the sigmoid activation to the following 3 functions. Write TensorFlow code to compute your answer. Activation Function 1 a₁ = 1+e-²₁ 1 1+e-²₂ 02 =
Answer: Activation Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu a1 0.588 0.355 0.341 0.355 az 0.684 0.688 0.593 0.688
Transcribed Image Text:Answer: Activation Function 1. Sigmoid 2. Linear 3. Tanh 4. ReLu a1 0.588 0.355 0.341 0.355 az 0.684 0.688 0.593 0.688
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