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Understanding Transposed Convolution Operations in Neural Networks

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.

Navigating the Application

To make the most of your experience, here are some pointers for using the app:

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