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Opiniones y comentarios de aprendices correspondientes a Building your first GAN in Python por parte de Coursera Project Network

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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....
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1 - 5 de 5 revisiones para Building your first GAN in Python

por Charles I N I

16 de feb. de 2021

Interesting topic! Thorough yet simplified. Recommended

por Dan S P

30 de nov. de 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?

por Rhitamjeet S

25 de mar. de 2021

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

por Arthur S

6 de abr. de 2021

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

por Tibor T

6 de may. de 2021

this was not good course