Page 255 - AI Ver 1.0 Class 9
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✶ Output  layer will then write a summary out of all the words received to explain his/her
                            deduction. The summary should not be more than 5 lines.
                      • Finally, the output layer presents this summary in-front of everyone and the real  image is finally
                     revealed to all. If the summary is accurate enough, the whole network wins, else they lose.





                      At a Glance


                  •  Neural networks are a series of algorithms used to recognise hidden patterns in raw data, cluster and classify it,
                  continuously learn and improve.
                  •  The main advantage of neural networks is that the data features can be extracted automatically by the machine
                  without the input from the developer.

                  •  There are mainly three types of AI models that are Regression, Classification and Clustering.
                  •  Neural networks are made up of layers of neurons, just like the human brain that consists of millions of neurons.
                  These neurons are the core processing units of the network.

                  •  There are mainly two types of Neural Networks: Artificial Neural Network and Biological Neural Network.
                  •  Artificial Neural Network is made up of three basic layers—Input, Hidden and Output.
                  •  Biological Neural Network is composed of a group of chemically connected or functionally associated neurons.


                                                         Exercise





                                                     Solved Questions

                                              SECTION A (Objective Type Questions)

                     uiz
            A.  Tick ( ) the correct option.
               1.  Which of the following models works on continuous data?

                  a.  Classification                                 b.  Regression
                  c.  Modularisation                                 d.  Reinforcement
               2.  The job of which of the following layers is to acquire data and feed it to the neural network?
                  a.  Input                                          b.  Hidden

                  c.  Output                                         d.  Last
               3.  In which of the following models, the dataset fed to the machine is labelled?
                  a.  Unsupervised Learning                          b.  Rule-based
                  c.  Learning Based                                 d.  Reinforcement Learning

               4.  Which of the following are the core processing units of the network?
                  a.  Cells                                          b.  Brain
                  c.  Neurons                                        d.  Machines




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