Boltzmann machine
A Boltzmann machine is a stochastic, recurrent neural network of symmetrically connected binary units that defines an energy function over its configurations and assigns each configuration a probability…
Neural Networks
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Discriminator
A discriminator is the neural network in a generative adversarial network (GAN) that is trained to tell real data apart from data produced by the generator
Generative adversarial network
Generative adversarial networks (GANs) are a family of generative models trained through competition between two learned functions.
Generator
A generator is a neural network within a generative adversarial network (GAN) that learns to produce synthetic data samples from random noise.