The Neural Network Paradigm: GANs and VAEs
At the heart of AI-boosted image creation is the concept of neural networks, specifically generative adversarial networks (GANs) and variational autoencoders (VAEs). GANs consist of two components: a generator and a discriminator, which work in tandem to create images. The generator generates images from random noise and attempts to create content that is increasingly similar
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