January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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The architecture of SRGANs
In SRGANs, both of the networks are deep convolution neural networks. They contain convolution layers and upsampling layers. Each convolution layer is followed by a batch normalization operation and an activation layer. We will explore the networks in detail in the following sections. The architecture of an SRGAN is shown in the following diagram:
Let's have a look at the architecture of the networks in detail in the following sections.
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