Generative Adversarial Network | GAN’s | Deep Learning | Part — II
Architecture of GAN’s —  A GAN consists of two neural networks: a generator network and a discriminator network. The generator network takes a random noise vector as input and produces a sample of data that resembles the training data. …
Generative Adversarial Network | GAN’s | Deep Learning | Part — II Architecture of GAN’s —  A GAN consists of two neural networks: a generator network and a discriminator network. The generator network takes a random noise vector as input and produces a sample of data that resembles the training data. … deep-learning
Generative Adversarial Network GAN’s Deep Learning Part — II Architecture GAN’s — GAN consists two neural network generator network discriminator network generator network take random noise vector input produce sample data resembles training data … deeplearning