Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 1)

The video tutorial introduces convolutional neural networks (CNNs) by explaining the concept of convolution, a fundamental operation in signal processing and computer vision. It simplifies convolution to basic arithmetic operations: addition and multiplication. The tutorial provides examples like blurring and edge detection to illustrate convolution's effects on images. It then delves into the convolution algorithm, offering pseudocode for implementation. The video distinguishes between convolution and correlation, highlighting their differences. Finally, it discusses various convolution modes, including valid, same, and full, explaining how padding affects output size.

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