Consider the Following Neural Network Which Takes Two Binary-valued Inputs

The analytical formula for AND gate is. Consider the following neural network which takes two binary-valued inputs x1x2 0 1 and outputs hΘx.

A Neural Network With Four Inputs One Output And Three Hidden Layers Download Scientific Diagram

Assume the activation function is a step function which of the following logical functions does it approximately compute.

. Question 5 Which of the following statements are true. Which of the following logical functions does it approximately compute. Your Answer Score Explanation XOR exclusive OR NAND meaning NOT AND OR AND 100 This network outputs approximately 1 only when both inputs are 1.

Which of the following logical functions does it approximately compute. Let a 31 h Θ x 1 be the activation of the first output unit and similarly a 32 h Θ x 2 and a 33 h Θ x 3. The logical function it is computing is AND gate logical function.

Any logical function over binary-valued 0 or 1 inputs x1 x 1 and x2 x 2 can be approximately represented using some neural network. A2 sigmoid z. A A two layer one input layer one output layer.

1 -30 X1 her X2₂ 20 AND NAND meaning NOT AND XOR exclusive OR 20 OOR. You got a score of 450 out of 500. Representation You submitted this quiz on Sun 13 Apr 2014 150 PM IST.

The activation values of the hidden units in a neural network with the sigmoid activation function applied at every layer are always in the range 0 1. A2 sigmoid Theta1 z. Consider the following neural network which takes two binary-valued inputs x1x2 01 and.

Consider the following neural network which takes two binary-valued inputs 1 r2 E 0 1 outputs he x. Check all that apply. A two layer one input layer one output layer.

Solution for Question 18 Consider the following neural network which takes two binary-valued inputs and outputs. Consider the following neural network which takes two binary-valued inputs x1x2 in 0 1 and outputs h Theta x. Question 1 Consider the following neural network which takes two binary-valued inputs and outputs.

Then for any input x it must be the case that a 31 a 32 a 33 1. Which of the following logical functions does it approximately compute. Let a 31 h Θ x 1 be the activation of the first output unit and similarly a 32 h Θ x 2 and a 33 h Θ x 3.

Which of the following logical functions does it approximately compute. X1 and x2 can take below possible combination of values. We review their content and use your feedback to keep the quality high.

Then for any input x it must be the case that a 31 a 32 a 33 1. Consider the following neural network which takes two binary-valued inputs 1 2 0 1 and outputs hox. View the full answer.

Inorrect 000 You do not need to apply the sigmoid function to the inputs. Any logical function over binary-valued 0 or 1 inputs x1 and x2 can be approximately represented using some neural network. Correct 100 This version computes a 2g Θ 1x correctly in two steps first the multiplication and then the sigmoid activation.

When neural network uses two binary values and binary threshold function h xl if x0O otherwise. Which logical function does it approximately. Consider the following neural network which takes two binary-valued inputs and outputs.

Any logical function over binary-valued 0 or 1 inputs x_1x1 and x_2x2 can be approximately represented using some neural network. No hidden layer neural network can represent the XOR function. The activation values of the hidden units in a neural network with the sigmoid activation function applied at every layer are always in the range 0 1.

D NAND EXPLANATION. Consider the neural network. The activation values of the hidden units in a neural network with the sigmoid activation function applied at every layer are always in the range 0 1.

Z Theta1 x. Then for any input x it must be the case that a 31a 32a 331. Q1 a OR b AND c NAND d None of the above.

Total 100 100 Question 2. You can attempt again in 10 minutes. You are given the following neural networks which take two binary valued inputs x 1x 2 2f01g and the activation function is the threshold functionhx 1 if x0.

Consider the following neural network which takes two binary-valued inputs x 1x_2 epsilon 01 and outputs h thetax. Then for any input x it must be the case that a3 1 a3 2 a3 3 1. Begin itemize item OR item AND item NAND meaning NOT AND item XOR exclusive OR end itemize ----- subsection Question 3.

Let a 31 hΘ x1 be the activation of the first output unit and similarly a 32 hΘ x2 and a 33 hΘ x3. Which of the following logical. C Suppose you have a multi-class.

The outputs of a neural network are not probabilities so their sum need not be 1. A two layer one input layer one output layer. No hidden layer neural network can represent the XOR function.

The outputs of a neural network are not probabilities so their sum need not be 1. Consider the following neural network which takes two binary-valued inputs x1x201 and outputs hθx. In this gate even if one input is low then the output is low.

B The activation values of the hidden units in a neural network with the sigmoid activation function applied at every layer are always in the range 0 1. Which of the following logical functions does it. Z sigmoid x.

Which of the following logical functions does it compute. 1 and -1 denotes. No hidden layer neural network.

Solved Consider The Following Neural Network Which Takes Two Chegg Com

Solved Consider The Following Neural Network Which Takes Two Chegg Com

Solved Problem 2 Consider The Following Neural Network Chegg Com

Coursera Machine Learning Week 4 Quiz Neural Networks Representation Andrew Ng