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    5.  In the default project of Google Teachable Machine, how many classes are there?

                                      (i)  One                                  (ii)  Four

                                    (iii)  Three                              (iv)  Two

                      B.  Write ‘T’ for true and ‘F’ for false.

                         1.  Google Teachable Machine is a web-based tool created by Microsoft.

                         2.   Google Teachable Machine offers a drag-and-drop interface for creating machine
                             learning models.

                         3.  You cannot upload images for training in Google Teachable Machine.

                         4.  You cannot test a model in real time after training in Google Teachable Machine.

                         5.  You can export a trained model to generate a shareable link or download it to
                             your device.

                      C.  Fill in the blanks using the given hints:
                         1.  The more examples you provide, the better your model will                    .

                         2.  Once the data is ready, the tool uses it to train a                  learning      Hints
                             model.                                                                             Retrain
                                                                                                                Machine
                         3.  After adding data or adjusting the settings,                    the model to
                                                                                                                 Class
                             help it learn from the new information.
                                                                                                            Recognise, Classify
                         4.  A                 is a category or a group you want your model to                   Learn

                             recognise.

                         5.  Training the model is the process of teaching the model to
                             and                  the images you’ve uploaded.

                      COMPETENCY-BASED QUESTIONS

                      1.  Anjali has created a model to recognise different types of flowers based on images. After testing
                         it, she finds that the accuracy is lower than expected and some flowers are misclassified. What
                         can Anjali do to improve the model’s accuracy?

                      2.  Rohit has created a model that can accurately recognise different types of animals in wildlife
                         photos. After testing the model in various conditions, he is pleased with its performance and

                         now wants to use it in a conservation project to track endangered species in remote areas.
                         What should Rohit do next?

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