Tag: down sampling without pooling
Dilated Convolution in Deep Learning
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- on October 13, 2022
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Dilated convolution is the concept of skipping the pixel while convoluting the kernel with the input. It is also known as the pixel-skipping algorithm. theRead More …
Post Tagged with : dilated convolution, dilatednet, down sampling without pooling, feature map, Machine Learning, skipping pixels