TL;DR —
In this article, we are going to learn about the grayscale image, colour image and the process of convolution. Padding is the number of pixels that are added to an input image and it also helps in improving the accuracy of image analysis. In deep neural networks, there is more than more than one layer for one convolutional layer. The process of adding pixels to the input has the same number of pixel as the original number of the original image. The result is the output image representation.
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Written by
@ashwinsharmap
Topics and
tags
tags
convolutional-neural-networks|neural-networks|deep-learning|basics|machine-learning|artificial-intelligence|convolution|mathematics|web-monetization
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