Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Network Architecture: Implementing Convolut

The video tutorial covers the basics of applying 2D convolutions in Python using libraries like Numpy, Matplotlib, Scipy, and OpenCV. It demonstrates how to load an image, convert it to grayscale, and apply a blurring filter using a convolution mask. The tutorial also explains how to display the original and processed images side by side, highlighting the effects of blurring. The concepts of image channels, filter design, and boundary handling in convolution are discussed.

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