Deep learning Chorale prelude Questions

This is 25 questions set of Deep learning Chorale prelude. Please NOTE that all questions and answers are based on our research and self-study.

Deep learning Chorale prelude Questions:

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1.) Data Collected from Survey results is an example of __

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

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

4.) ___ is a Neural Nets way of classifying inputs.

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

6.) Recurrent Networks work best for Speech Recognition.

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

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

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

10.) The rate at which cost changes with respect to weight or bias is called _

11.) GPU stands for __

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

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

14.) _ is a recommended Model for Pattern Recognition in Unlabeled Data.

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

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

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

18.) How do RNTS interpret words?

19.) Recurrent Network can input a Sequence of Data Points and Produce a Sequence of Output.

20.) A Deep Belief Network is a stack of Restricted Boltzmann Machines.

21.) All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.

22.) What is the best Neural Network Model for Temporal Data?

23.) What are the two layers of a Restricted Boltzmann Machine called?

24.) RELU stands for __

25.) All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.

Question NumberQuestion Answer
1.) AnswerStructured data
2.) AnswerTRUE
3.) AnswerHidden layer
4.) AnswerFP
5.) AnswerWeight and bias
6.) AnswerTRUE
7.) AnswerFALSE
8.) AnswerTRUE
9.) AnswerTRUE
10.) AnswerGradient
11.) AnswerGraphic
12.) AnswerCost
13.) AnswerTRUE
14.) AnswerAuto
15.) AnswerTraining
16.) AnswerFALSE
17.) AnswerRecurrent
18.) AnswerVector
19.) AnswerTRUE
20.) AnswerTRUE
21.) AnswerFALSE
22.) Answerrecurrent
23.) Answerhidden
24.) Answerrectified linear
25.) AnswerFALSE

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