Skip to main content
See who owns your news
Get Started
SubscribeLogin
Published • loading... • Updated

Deep Convolutional GAN — How to Use a DCGAN to Generate Images in Python

Summary by Ground News
Data Scientists use Generative Adversarial Networks (GANs) for a wide range of tasks, with image generation being one of the most common. A particular type of GAN known as DCGAN (Deep Convolutional GAN) has been created specifically for this. In this article, I will explain DCGANs and show you how to build one in Python using Keras/Tensorflow libraries. Then, we will use it to generate images of bonsai trees.
DisclaimerThis story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.

1 Articles

Towards Data ScienceTowards Data Science

Deep Convolutional GAN — How to Use a DCGAN to Generate Images in Python

An overview of DCGAN architecture with a step-by-step guide to building it yourself

Read Full Article
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • There is no tracked Bias information for the sources covering this story.

Factuality Info Icon

To view factuality data please Upgrade to Premium

Ownership

Info Icon

To view ownership data please Upgrade to Vantage

Towards Data Science broke the news on Wednesday, July 13, 2022.
Too Big Arrow Icon
Sources are mostly out of (0)
Blindspot Title And Logo
Stories disproportionately reported by the Left or the Right

Similar News Topics

Architecture icon

Architecture

News
Feed Dots Icon
For You
Search Icon
SearchBlindspot LogoBlindspotLocal