Transposed Convolutions in Neural Networks – Interactive Demo App

This video is from deeplizard.

Transposed convolutions are a particular type of upsampling technique often used in neural networks, particularly GANs. Just like other upsampling techniques, transposed convolutions increase the size of data. For image data, transposed convolutions are used to increase image dimensions.

Use the interactive demonstration below to gain a better understanding of this process. The intended use of this application is to help students learn and help instructors teach.


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