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.