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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.
Computer Vision (Practical) 357

