Introduction To Machine Learning IIT-KGP Nptel Week 6 Assignment Answers
Are you looking for Nptel Introduction To Machine Learning IIT-KGP Week 6 Answers 2024? This guide offers comprehensive assignment solutions tailored to help you master key machine learning concepts such as supervised learning, regression, and classification.
Introduction To Machine Learning IIT-KGP Nptel Week 6 Assignment Answers
Introduction To Machine Learning IIT-KGP Week 6 Answers (July-Dec 2024)
Q1.The neural network given below takes two binary valued inputs x. x, € {0.1} and the activation function is the binary threshold function (h(x) = 1if x > 0; 0 otherwise ). Which of the following logical functions does it compute?
A) AND B) OR C) NAND D) None of the above
Answer: A) AND
Q2‘What is the sequence of the following tasks in a perceptron? I) Initialize the weights of the perceptron randomly. II) Go to the next batch of data set. III) If the prediction does not match the output, change the weights. IV) For a sample input, compute an output. A) I,II,III,IV B) IV,III,II,I C) III,I,II,IV D) I,IV,III,II
These are Introduction To Machine Learning IIT-KGP Week 6 Answers
Q5.‘Which of the following is true about model capacity (where model capacity means the ability of a neural network to approximate complex functions)?
A) As number of hidden layers increase, model capacity increases
B) As dropout ratio increases, model capacity increases
C) As learning rate increases, model capacity increases
D) None of these.
Answer: A) As number of hidden layers increase. model capacity increases
Q6 The back-propagation learning algorithm applied to a two layer neural network A) always finds the globally optimal solution. B) finds a locally optimal solution which may be globally optimal. C) never finds the globally optimal solution. D) finds a locally optimal solution which is never globally optimal
Answer:B) finds a locally optimal solution which may be globally optimal.
These are Introduction To Machine Learning IIT-KGP Week 6 Answers
Q9.A Convolutional Neural Network(CNN) 1s a Deep Neural Network which can extract various abstract features from an input required for a given task. Given are the operations performed by a CNN on an input: 1) Max Pooling 2) Convolution Operation 3) Flatten 4) Forward propagation by Fully Connected Network Identify the correct sequence of operations performed from the options below: A) 4,3,2,.1 B) 2,1,3,4 C) 3,1,2,4 D) 4,2,1,3
