Demystifying CNNs: The Building Blocks of Modern Image Recognition/ Deep learning / Machine learning

 In the world of artificial intelligence and machine learning, Convolutional Neural Networks (CNNs) stand out as one of the most impactful deep learning architectures. With applications ranging from image and video recognition to medical image analysis and self-driving cars, CNNs have revolutionized how we analyze visual data. But what exactly is a CNN, and how does it work? What is a Convolutional Neural Network? A CNN is a specialized type of neural network designed to process data with a grid-like structure, such as images. Unlike traditional neural networks, which may struggle to capture the spatial hierarchies in images, CNNs use a layered approach to extract features like edges, shapes, and textures from an image. This allows them to recognize patterns within an image more effectively. The Structure of CNNs CNNs consist of several key components: Convolutional Layers : The main building block of a CNN, convolutional layers apply a filter (or kernel) that slides across the inp...