Building your first GAN in Python

提供方
Coursera Project Network
在此指導項目中,您將:

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
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Tensorflow
  • Python Programming
  • Generative Models

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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