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Here's the corresponding ConvVAE diagram, and corresponding description: Each convolution and deconvolution layer uses a stride of 2. The layers are indicated in the diagram in Italics as Activation-type Output Channels x Filter Size. All convolutional and deconvolutional layers use relu activations except for the output layer as we need the output to be between 0 and 1.
relu conv 64x4 --> relu conv 64x5
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