Building your first GAN in Python

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Understand concepts behind the training of GANs

Code the Generator and Discriminator components of a GAN using Tensorflow in Python

Code and run the training loop of a GAN using Tensorflow in Python

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project, you will have learned the basics behind designing and coding Generative Adversarial Networks, or GANs. This project will familiarize you with concepts and techniques at work behind the scenes in GANs and deepfakes. The methods you will learn in the course of this project will enable you to build Generative Adversarial Networks for any potential purpose and provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Python experience is heavily recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Tensorflow
  • Python Programming
  • Generative Models

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Exploring GANs

  2. Coding a Generator Network

  3. Coding the Discriminator Component

  4. Coding the Training Function

  5. Running the Training, and Discussing the Future

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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