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Exercise (Practical)



                                                         Solved Questions


                                                  SECTION A (Objective Type Questions)
                       uiz

                    Tick ( ) the correct option.
                    1.  Neural Networks are a series of algorithms used to recognise ……….……................ in raw data.
                       a.  Visible patterns                              b.  Hidden patterns
                       c.  Simple shapes                                 d.  Random noise

                    2.  The Pooling Layer reduces the ……….……................ of the input image while retaining the important features.
                       a.  Quality                                       b.  Dimensions

                       c.  Colour depth                                  d.  Contrast
                    3.  ……….……................ selects the maximum value of the current image view and helps preserve the maximum detected
                       features.
                       a.  Average Pooling                               b.  Mean Pooling

                       c.  Max Pooling                                   d.  Min Pooling
                    4.  ……….……................ helps make the model more robust to variations in the input image.

                       a.  Rectified Linear Unit                         b.  CNN
                       c.  Convolution Layer                             d.  Pooling
                    5.  No-Code AI tools provide which type of interface?

                       a.  Command-line interface                        b.  Drag-and-drop visual interface
                       c.  Text-based programming environment            d.  None of these

                    6.  Teachable Machine is built on which JavaScript library?
                       a.  TensorFlow.js                                 b.  Game development
                       c.  Web development                               d.  Hardware programming

                    7.  In which layer are the final outputs of a CNN predicted?
                       a.  Convolution Layer                             b.  Rectified Linear Unit (ReLU) Layer

                       c.  Pooling Layer                                 d.  Fully Connected Layer
                    8.  What is the result of applying ReLU to the feature map?
                       a.  All the feature map values are doubled

                       b.  All negative values are turned to zero and positive values are kept unchanged
                       c.  The feature map is resized

                       d.  The image is sharpened









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