Page 261 - AI Ver 1.0 Class 9
P. 261

4.  Classification works on no dataset.                                                       ……….……

               5.  The input can be complex and non-linear for ANN.                                          ……….……

            D.  Match the following:
               1.  Composing Music                              a.  Discrete data
               2.  Classification                               b.  Labelled data

               3.  Regression                                   c.  Neurons
               4.  Clustering                                   d.  Application of Neural networks

               5.  Human nervous system                         e.  Axon

                                             SECTION B (Subjective Type Questions)

            A.  Short answer type questions:
               1.  Give three advantages of neural network.

               2.  Explain in short the three basic layers of artificial neural network.

               3.  How does a neural network work? Explain in short.
               4.  An AI model was provided with a lot of images. The model was then instructed to extract some information from the
                  images. What is the best tool for the AI model to perform this task?

               5.  How does Facebook provide suggestions to tag an individual in your photos?
               6.  State one benefit of using Artificial Neural Networks.

            B.  Long answer type questions:

               1.  What is a relation between the neural network and nervous system?

               2.  Explain the three types of neurons present in our body.
               3.  Explain any two AI models in detail.

               4.  What kind of AI model is used to categorize observations and work with labelled data? Why
               5.  Briefly explain any two uses of neural networks.

            C.  Competency-based/Application-based questions:


               1.  If we want to predict the salary of an employee, we can use his past salaries as training data and can predict his next
                  salary. Name the type of AI model.

               2.  Assertion (A): A Neural Network helps in building predictive models based on huge data sets.

                  Reason (R): Backpropagation is one of the techniques used to train an Artificial Neural Network.
                    (i)  Both A and R are correct and R is the correct explanation of A.
                   (ii)  Both A and R are correct but R is NOT the correct explanation of A.

                   (iii)  A is correct but R is incorrect.
                   (iv)  A is incorrect but R is correct.







                                                                                     Neural Networks   259
   256   257   258   259   260   261   262   263   264   265   266