Chevron Left
返回到 Building your first GAN in Python

学生对 Coursera Project Network 提供的 Building your first GAN in Python 的评价和反馈


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....

1 - Building your first GAN in Python 的 5 个评论(共 5 个)

创建者 Charles I N I

Feb 16, 2021

Interesting topic! Thorough yet simplified. Recommended

创建者 Dan S P

Nov 30, 2021

The instructor skips over the explanations for most of the presented topics. Coding is simply a copy and paste from google tutorials, without going in-depth into any of the concepts presented. It also seems that this is very far from the current state of tensorflow and is using some outaded code. Some example questions I have are: - what are the input parameters of the different layers supposed to mean? - why do we add the different layers to the model? what do they do? what are convolutions? what is dopout doing in this specific case?

创建者 Rhitamjeet S

Mar 25, 2021

The explaination of the code is too brief to understand anything about what's going on.

创建者 Arthur S

Apr 6, 2021

Doesn't take the time to explain what is being done or why.

创建者 Tibor T

May 6, 2021

this was not good course