Fundamentals of Neural Networks - Padding

The video tutorial covers the basics of convolutional operations in convolutional neural networks (CNNs), focusing on element-wise matrix multiplication and the use of filters or kernels. It introduces the concept of padding, explaining how it increases matrix dimensions by adding zero entries around the original matrix. The tutorial discusses the practical application of padding in convolution operations, highlighting its flexibility and importance in pattern extraction.

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