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