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Task                                                          21 st  Century   #Information Literacy
                                                                                                 Skills


                     Convolutional Neural Network                                                      CBSE Handbook
                         Convolutional           Rectified linear                                 Fully Connected
                                                                          Pooling Layer
                              Layer                unit (ReLU)                                          Layer
                                                        10
                      1  1  1  0  0                      8                     Max [1,1,5,6]=6
                       x1  x0  x1
                                                         6                                       Car         70 %
                      0  1  1  1  0   4
                       x0  x1  x0
                                                         4
                      0  0  1  1  1                                   x          Max pool with
                       x1  x0  x1                                        1  1  2  4  2×2 filters and   Truck  20 %
                                                         2
                      0  0  1  1  0                                      5  6  7  8  stride 2  6  8
                                                                         3  2  1  0      3  4
                      0  1  1  0  0            –10  –5        5   10     1  2  3  4              Bicycle     10 %
                                     Convolved   Output = Max(zero, Input)
                          Image                                                y
                                      Feature
                                                                      Rectified Features Map
                                       Reduce size, improve feature, give probability value
                   Write the whole process of how a CNN works on the basis of the above diagram.

                           At a Glance


                       •  Computer Vision is a part of Artificial Intelligence (AI) that focuses on helping machines understand and
                        interpret visual information like images and videos.
                       •  Image processing involves manipulating and enhancing images to improve their quality or extract specific
                        features.
                       •  Computer Vision is used in many fields, like healthcare, shopping, and entertainment.
                       •  Facial recognition is a technology that uses Computer Vision to identify and verify people based on their
                        facial features.
                       •  Face filters in Computer Vision are fun and interactive tools that uses algorithm to detect and track facial
                        features.
                       •  Classification is the process of determining the class or category of an input image.
                       •  Localisation means where the object is located in the image.
                       •  Object detection is the process of identifying or detecting the instances of real-world on which the detection
                        model has been trained.
                       •  Instance segmentation is the process of dividing an image into smaller segments to identify individual
                        objects within it, distinguishing them from the background or other objects in the image.
                       •  An image is a visual representation of any object.
                       •  Pixel is the smallest unit of information in a digital image.
                       •  Resolution is basically the dimensions through which you can measure how many pixels are on a screen or
                        an image.
                       •  Grayscale images are images made up of different shades of gray, ranging from black to white, but without
                        any colour.
                       •  All coloured images around us are made up of 3 primary colours of Red, Green and Blue.
                       •  A No-Code AI tool is a software platform that allows users to build, deploy, and manage Artificial Intelligence
                        (AI) models without writing any code.
                       •  Lobe is a user-friendly, no-code AI tool designed to make it easy for anyone to create AI models without
                        needing programming skills.
                       •  Orange is a powerful, open-source data visualisation and analysis tool, widely used in data mining and
                        Machine Learning.

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