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Deep learning Chorale prelude

1 Data Collected from Survey results is an example of _ structured data

2 Gradient at a given layer is the product of all gradients at the previous layers. TRUE

3 Name the component of a Neural Network where the true value of the input is not observed. hidden layer

4 ________ is a Neural Nets way of classifying inputs. Forward Propagation

5 Prediction Accuracy of a Neural Network depends on ___ and __. weight and bias

6 Recurrent Networks work best for Speech Recognition. TRUE

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

8 Recurrent Neural Networks are best suited for Text Processing. TRUE

9 Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron. TRUE

10 The rate at which cost changes with respect to weight or bias is called gradient

11 GPU stands for graphic

12 What is the difference between the actual output and generated output is known as? cost

13 A Shallow Neural Network has only one hidden layer between Input and Output layers. TRUE


14 __ is a recommended Model for Pattern Recognition in Unlabeled Data. auto

15 Process of improving the accuracy of a Neural Network is called ___. training

16 Restricted Boltzmann Machine expects the data to be labeled for Training. FALSE

17 What is the best Neural Network Model for Temporal Data? Recurrent Neural Network

18 How do RNTS interpret words? vector

20 Recurrent Network can input Sequence of Data Points and Produce a Sequence of Output. TRUE

21 A Deep Belief Network is a stack of Restricted Boltzmann Machines. TRUE

22 hidden

23 All the Visible Layers in a Restricted Boltzmann Machine are connected to each other. FALSE

24 What is the best Neural Network Model for Temporal Data? recuurent

25 What are the two layers of a Restricted Boltzmann Machine called? hidden

26 RELU stands for rectified linear

27 All the Visible Layers in a Restricted Boltzmann Machine are connected to each other. FALSE

28 Why is the Pooling Layer used in a Convolution Neural Network? Dimension Reduction

29 All the Visible Layers in a Restricted Boltzmann Machine are connected to each other. FALSE

30 What does LSTM stand for? long short term mem

31 All the neurons in a convolution layer have different Weights and Biases. FALSE

32 The measure of Difference between two probability distributions is known as KL Divergence

33 _ works best for Image Data. convultion

34 Neural Networks Algorithms are inspired from the structure and functioning of the Human Biological Neuron. TRUE

35 Autoencoders cannot be used for Dimensionality Reduction. FALSE

36 What is the method to overcome the Decay of Information through time in RNN known as? Gating

37 De-noising and Contractive are examples of _ autoencoder

38 What is the difference between the actual output and generated output is known as? cost

39 ____ models are best suited for Recursive Data. Recursive neutral tensor nets

40 A ___ matches or surpases the output of an individual neuron to a visual stimuli. Convolution


41 Support Vector Machines, Naive Bayes and Logistic Regression are used for solving _______ problems Classification

42 How do RNTS interpret words? Vector Representations

43 Autoencoders are trained using _______ feed

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

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