https://arshadhs.github.io/tags/receptive-field/Recent content in Receptive Field on Arshad SiddiquiHugoen-usSun, 19 Apr 2026 00:00:00 +0000https://arshadhs.github.io/docs/ai/deep-learning/060-cnn-fundamentals/Sun, 19 Apr 2026 00:00:00 +0000https://arshadhs.github.io/docs/ai/deep-learning/060-cnn-fundamentals/<h1 id="convolutional-neural-networks-cnn"> Convolutional Neural Networks (CNN) <a class="anchor" href="#convolutional-neural-networks-cnn">#</a> </h1> <p>Convolutional Neural Networks (CNNs) are specialised neural networks designed for data with spatial structure, especially images. They became the standard model for computer vision because they preserve spatial locality, reuse the same pattern detector across the image, and build representations hierarchically. In practical terms, a CNN starts by learning simple features such as edges and corners, then combines them into textures, shapes, object parts, and finally full semantic categories.</p>