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5. Fine-tuning: If the performance of the CNN is not satisfactory, you may fine-tune the model by adjusting hyper
                   parameters, changing the model architecture, or using data augmentation techniques.
                 6. Deployment: Once you are satisfied with the model's performance, you can deploy it to make predictions on
                   new and unseen data.


                                                                                            21 st  Century   #Media Literacy
                                                                                                Skills
                           Video Session

                      Watch this video on "Convolutional Neural Networks (CNNs)" at the given link:
                      https://www.youtube.com/watch?v=YRhxdVk_sIs  or  scan  the  QR  code  and  answer  the
                      following question:
                      What do you understand by CNN?

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                           At a Glance


                       •  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.
                       •  Teachable Machine is designed to make Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning
                        (DL) accessible to everyone, including beginners with no technical background.
                       •  Orange is a powerful, open-source data visualisation and analysis tool, widely used in data mining and Machine
                        Learning.
                       •  Coral reefs are large underwater structures made up of the skeletons of tiny marine animals called coral polyps.
                       •  Coral bleaching occurs when corals experience stress due to changes in their environment, causing them to expel
                        the zooxanthellae algae from their tissues.
                       •  Image  feature  refers  to  a  specific  element  or  piece  of  information  extracted  from  an  image  that  provides
                        meaningful insights about its content.
                       •  Convolution  is  defined  as  a  simple  Mathematical  operation  that  multiplies  two  numeric  arrays  of  the  same
                        dimensions but different sizes to produce a third numeric array of the same dimensions.
                       •  Kernel is also known as a convolution matrix or mask (typically a 3x3 or 5x5 matrix) will help you in image
                        processing by creating a wide range of effects like sharp, blur, masking etc.
                       •  Neural Networks are a series of algorithms used to recognise hidden patterns in raw data, process it, cluster and
                        classify it, and continuously learn and improve.
                       •  Convolutional Neural Network is a type of an Artificial Neural Network and is made up of neurons that help in
                        image recognition and image processing
                       •  The Convolutional Layer is the first layer in a Convolutional Neural Network (CNN) and plays a critical role in
                        processing visual data, such as images. Its main objective is to extract key features from the input image, starting
                        with low-level features like edges, textures, colours, and gradients. These features serve as the building blocks for
                        the network to understand the content of the image.
                       •  ReLU (Rectified Linear Unit) is an activation function that introduces non-linearity into the model.
                       •  Pooling layer reduces the dimensions of the input image while still retaining the important features.



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