Deep Learning Quiz 2

Which of the following is NOT supervised learning?

• Decision Tree

• Linear Regression

• Naive Bayes

• Clustering

A Machine Learning method that is concerned with how software agents should take actions in an environment is

• Reinforcement learning

• semi- supervised learning

• unsupervised learning

• supervised learning

What is the objective of backpropagation algorithm?

• to develop learning algorithm for multilayer feedforward neural network

• to develop learning algorithm for single layer feedforward neural network

• to propagate the computed loss to compute gradient

• all the mentioned

What are general limitations of back propagation rule? Pick the right choice from the given options

i) local minima problem

ii) slow convergence

iii) scaling

• only i

• both ii and i

• both ii and iii

• i, ii and iii

Feedback networks are used for?

• auto association

• pattern storage

• both auto association & pattern storage

• pattern recognition

Number of output cases depends on what factor?

• number of inputs

• number of distinct classes

• total number of classes

• none of the mentioned

_________ is used to find local minima of the cost function

• stochastic gradient descent

• gradient descent

• linear regression

• logistic regression

Cost function(J) of Linear Regression is the _______ value between predicted y value (predicted) and true y value (y)

• Mean

• Root mean square

• Median

• Mean square

A = 1/(1 + e^-x) is an equation representing which activation function?

• ReLU

• Sigmoid

• Leaky ReLu

• Tanh

The algorithm creates a line or a hyperplane which separates the data into classes and also suitable for classification and regression

• K-means clustering

• Support vector machine

• Bayesian inference

• perceptron