Data Mining Week-6 | NPTEL

 

Week 06: Assignment 06

ANSWERS

1. c

2. a

3. d

4. a

5. d

6. b

7. a

8. a

9. a

10. b

Due date: 2023-03-08, 23:59 IST.

Assignment not submitted

1 point

Sufficient Number of output nodes required in an ANN used for two-class classification problem is:

 a. Random number

 b. Same as number of input nodes

 c. 1

 d. 2

1 point

How are the weights and biases initialized in an ANN in general?

 a. Can be initialized randomly

 b. Always initialized to zero

 c. Always initialized to infinity

 d. Always initialized as 1

1 point

In which of the below neural network, the links may connect nodes within the same layer or nodes from one layer to the previous layers?

 a. Perceptron

 b. Feed-forward neural network

 c. Recurrent neural network

 d. Both B, C

1 point

Neural Networks are complex ______________ with many parameters.

 a. Linear Functions

 b. Nonlinear Functions

 c. Discrete Functions

 d. Exponential Functions

1 point

Artificial neural network used for:

 a. Pattern Recognition

 b. Classification

 c. Clustering

 d. All of the above

1 point

A neuron with 3 inputs has the weight vector [0.2 -0.1 0.1]^T and a bias θ = 0. If the input vector is X = [0.2 0.4 0.2]^T then the total input to the neuron is:

 a. 0.2

 b. 0.02

 c. 0.4

 d. 0.10

1 point

A neural Network given below takes two binary inputs X1, X2 ϵ {0,1} and the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?

 a. AND

 b. NAND

 c. XOR

 d. NOR

1 point

The neural network given bellow takes two binary valued inputs x1, x2 ϵ {0,1}, the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?

 a. AND

 b. NAND

 c. XOR

 d. OR

1 point

The neural network given bellow takes two binary valued inputs x1, x2 ϵ {0,1} and the activation function is the binary threshold function (h(z)=1 if z>0;0 otherwise). Which of the following logical functions does it compute?

 a. OR

 b. AND

 c. NAND

 d. NOR

1 point

Under which of the following situation would you expect overfitting to happen?

 a. With training iterations error on training set as well as test set decreases

 b. With training iterations error on training set decreases but test set increases

 c. With training iterations error on training set as well as test set increases

 d. With training iterations training set as well as test set error remains constant