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13:09
YouTube
Datum Learning
Transposed Convolution in Deep Learning. Stride , Padding, Dilation, Output_padding
In this video, we are going to see the topic of transposed convolution in Deep Learning. We will learn about strides, padding, dilation, output_padding in transposed convolutions. Transposed convolution is a way of increasing the size of the feature maps in upsampling networks, eg UNET.
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