Deep Learning CNN Convolutional Neural Networks with Python - Filters Padding Strides

Deep Learning CNN Convolutional Neural Networks with Python - Filters Padding Strides

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Information Technology (IT), Architecture

University

Hard

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This video tutorial covers the basics of convolution, including the use of filter banks, channels, and activation functions. It explains how convolution layers work, the importance of padding to include edge pixels, and the concept of stride, which determines the movement of filters across an image. The tutorial provides a comprehensive understanding of these fundamental concepts in image processing.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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