Data Mining Week 6 Nptel Assignment Answers
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Data Mining Week 6 Nptel Assignment Answers (Jan-Apr 2025)
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- A perceptron consists of –
a. one neuron
b. two neurons
c. three neurons
d. four neurons
- A perceptron can correctly classify instances into two classes where the classes are:
a. Overlapping
b. Linearly separable
c. Non-linearly separable
d. None of the above
- The logic function that cannot be implemented by a perceptron having two inputs is?
a. AND
b. OR
c. NOR
d. XOR
- A training input x is used for a perceptron learning rule. The desired output is t and the actual output is o. If the learning rate is η, the weight update performed by the learning rule is described by?
a. wi←wi+ h(t – o)
b. wi←wi+ h(t – o) x
c. wi←h(t – o) x
d. wi←wi+ (t – o) x
- Suppose we have n training examples xi, i=1…n, whose desired outputs are ti, i=1…n. The output of a perceptron for these training examples xi‘s are oi, i=1…n. The error function minimized by the gradient descent perceptron learning algorithm is:
a. E = (1/2) ∑i=1…n (ti − oi)
b. E = (1/2) ∑i=1…n (ti − oi)²
c. E = (1/2) ∑i=1…n (ti + oi)²
d. E = (1/2) ∑i=1…n (ti + oi)
- The tanh activation function h(z) = (2 / (1 + e⁻²ᶻ)) − 1 is:
a. Discontinuous and not differentiable
b. Discontinuous but differentiable
c. Continuous but not differentiable
d. Continuous and differentiable
- The neural network given below takes two binary-valued inputs x₁, x₂ ∈ {0,1} and the activation function is the binary threshold function h(z) = 1 if z > 0; otherwise 0. Which of the following logical functions does it compute?
a. OR
b. AND
c. NAND
d. NOR
Data Mining Week 6 Nptel Assignment Answers
- Which of the following statements is true for a multilayered perceptron?
a. Output of all the nodes of a layer is input to all the nodes of the next layer
b. Output of all the nodes of a layer is input to all the nodes of the same layer
c. Output of all the nodes of a layer is input to all the nodes of the previous layer
d. Output of all the nodes of a layer is input to all the nodes of the output layer
- A multi-layered perceptron is usually trained using:
a. Margin maximization algorithm
b. Single linkage algorithm
c. Belief propagation algorithm
d. Backpropagation algorithm
- Overfitting is expected when we observe that?
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
Data Mining Week 6 Nptel Assignment Answers
For answers to others Nptel courses, please refer to this link: NPTEL Assignment
