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