Artificial Intelligence

Sequence Models Interview Question-Answer Part – 2

By Smart Answer

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Sequence Models Interview Question Part – 1

Q.1 What is the difference between the actual output and generated output known as?

       A. Output Modulus

       B. Accuracy

       C. Cost

       D. Output Difference

Ans : Cost

Q.2 Prediction Accuracy of a Neural Network depends on _______________ and ______________.

       A. Input and Output

       B. Weight and Bias

       C. Linear and Logistic Function

       D. Activation and Threshold

Ans : Weight and Bias

Q.3 GPU stands for __________.

       A. Graphics Processing Unit

       B. Gradient Processing Unit

       C. General Processing Unit

       D. Good Processing Unit

Ans : Graphics Processing Unit

Q.4 Recurrent Neural Networks are best suited for Text Processing.

       A. True

       B. False

Ans : True

Q.5 Recurrent Networks work best for Speech Recognition.

       A. True

       B. False

Ans : True

Q.6 Gradient at a given layer is the product of all gradients at the previous layers.

       A. True

       B. False

Ans : True

Q.7 Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron.

       A. True

       B. False

Ans : True

Q.8 In a Neural Network, all the edges and nodes have the same Weight and Bias values.

       A. True

       B. False

Ans : False

Q.9 __________ is a Neural Nets way of classifying inputs.

       A. Learning

       B. Forward Propagation

       C. Activation

       D. Classification

Ans : Forward Propagation

Q.10 Name the component of a Neural Network where the true value of the input is not observed.

       A. Hidden Layer

       B. Gradient Descent

       C. Activation Function

       D. Output Layer

Ans : Hidden Layer

Q.11 ____________ works best for Image Data.

       A. AutoEncoders

       B. Single Layer Perceptrons

       C. Convolution Networks

       D. Random Forest

Ans : Convolution Networks

Q.12 _____________ is a recommended Model for Pattern Recognition in Unlabeled Data.

       A. CNN

       B. RNN

       C. Autoencoders

       D. Shallow Neural Networks

Ans : Autoencoders

Q.13 Process of improving the accuracy of a Neural Network is called _______________.

       A. Forward Propagation

       B. Cross Validation

       C. Random Walk

       D. Training

Ans : Training

Q.14 Data Collected from Survey results is an example of ____________.

       A. Data

       B. Information

       C. Structured Data

       D. Unstructured Data

Ans : Structured Data

Q.15 Support Vector Machines, Naive Bayes and Logistic Regression are used for solving ___________ problems.

       A. Clustering

       B. Classification

       C. Regression

       D. Time Series

Ans : Classification

Q.16 The rate at which cost changes with respect to weight or bias is called ____________.

       A. Derivative

       B. Gradient

       C. Rate of Change

       D. Loss

Ans : Gradient

Q.17 What does LSTM stand for?

       A. Long Short Term Memory

       B. Least Squares Term Memory

       C. Least Square Time Mean

       D. Long Short Threshold Memory

Ans : Long Short Term Memory

Q.18 A Shallow Neural Network has only one hidden layer between Input and Output layers.

       A. True

       B. False

Ans : True

Q.19 All the Visible Layers in a Restricted Boltzmannn Machine are connected to each other.

       A. True

       B. False

Ans : False

Q.20 All the neurons in a convolution layer have different Weights and Biases.

       A. True

       B. False

Ans : False

Q.21 Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output.

       A. True

       B. False

Ans : True

Q.22 A Deep Belief Network is a stack of Restricted Boltzmann Machines.

       A. True

       B. False

Ans : True

Q.23 Restricted Boltzmann Machine expects the data to be labeled for Training.

       A. True

       B. False

Ans : False

Q.24 What is the method to overcome the Decay of Information through time in RNN known as?

       A. Back Propagation

       B. Gradient Descent

       C. Activation

       D. Gating

Ans : Gating

Q.25 What is the best Neural Network Model for Temporal Data?

       A. Recurrent Neural Network

       B. Convolution Neural Networks

       C. Temporal Neural Networks

       D. Multi Layer Perceptrons

Ans : Recurrent Neural Network

Q.26 RELU stands for ____________.

       A. Rectified Linear Unit

       B. Rectified Lagrangian Unit

       C. Regressive Linear Unit

       D. Regressive Lagrangian Unit

Ans : Rectified Linear Unit

Q.27 Why is the Pooling Layer used in a Convolution Neural Network?

       A. They are of no use in CNN

       B. Dimension Reduction

       C. Image Sensing

       D. Object Recognition

Ans : Dimension Reduction

Q.28 What are the two layers of a Restricted Boltzmann Machine called?

       A. Input and Output Layers

       B. Recurrent and Convolution Layers

       C. Activation and Threshold Layers

       D. Hidden and Visible Layers

Ans : Hidden and Visible Layers

Q.29 The measure of Difference between two probability distributions is know as ________________.

       A. Probability Difference

       B. Cost

       C. KL Divergence

       D. Error

Ans : KL Divergence

Sequence Models Interview Question Part – 1

Smart Answer


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