Deep Convolutional Generative Adversarial Network  |  TensorFlow Core


This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network (DCGAN). The code is written using the Keras Sequential API with a tf.GradientTape training loop.What are GANs?Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an … Read more Deep Convolutional Generative Adversarial Network  |  TensorFlow Core


This tutorial demonstrates how to generate images of handwritten digits using a Deep Convolutional Generative Adversarial Network (DCGAN). The code is written using the Keras Sequential API with a tf.GradientTape training loop.What are GANs?Generative Adversarial Networks (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator (“the artist”) learns to create images that look real, while a discriminator (“the art

Source: Deep Convolutional Generative Adversarial Network  |  TensorFlow Core

Deep Convolutional Generative Adversarial Network | TensorFlow Core. (n.d.). Retrieved February 8, 2020, from https://www.tensorflow.org/tutorials/generative/dcgan Cite

 


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