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学生对 Coursera Project Network 提供的 Generate Synthetic Images with DCGANs in Keras 的评价和反馈

230 个评分
45 条评论


In this hands-on project, you will learn about Generative Adversarial Networks (GANs) and you will build and train a Deep Convolutional GAN (DCGAN) with Keras to generate images of fashionable clothes. We will be using the Keras Sequential API with Tensorflow 2 as the backend. In our GAN setup, we want to be able to sample from a complex, high-dimensional training distribution of the Fashion MNIST images. However, there is no direct way to sample from this distribution. The solution is to sample from a simpler distribution, such as Gaussian noise. We want the model to use the power of neural networks to learn a transformation from the simple distribution directly to the training distribution that we care about. The GAN consists of two adversarial players: a discriminator and a generator. We’re going to train the two players jointly in a minimax game theoretic formulation. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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....


May 26, 2020

The course was well equipped. It gave me the basic idea of how GAN works and how to implement it. If you want to get started with GAN then it can be a better course to lead you.

Jun 13, 2020

In this course, you will learn about a lot of different ways to join ideas to make more complex and interesting knowledge of keras


26 - Generate Synthetic Images with DCGANs in Keras 的 44 个评论(共 44 个)

创建者 Javier F B

Apr 24, 2020

Excellent course.

创建者 Ayush G

Oct 6, 2020

nice project

创建者 umit k

Sep 9, 2020

Thank you.

创建者 Rajasinghe R

May 28, 2020

very goood

创建者 Santiago G

Aug 22, 2020



Aug 30, 2020


创建者 p s

Jun 23, 2020


创建者 tale p

Jun 16, 2020


创建者 321810306031 A C H

Jul 13, 2020


创建者 Ebin Z

Jun 9, 2020

Everything was well explained and a very good project to get a good knowledge about GAN networks and its applications. Looking for more such projects.

创建者 Diego P P

Jun 10, 2020

I't's a good project, the theory should be more explained but in general was interesting to know about this network

创建者 Svitlana Z

May 5, 2020

This course helped me to start developing GANs. I would like to hear more theoretical explanations.

创建者 Shakshi S

Aug 6, 2020

I tried this project and it is really good if you want to have idea about GANs and DCGANs.

创建者 Srinadh R B

Sep 11, 2020

Nice choice to start with the understanding of GANs.

创建者 Deep G

May 21, 2020

Good way to start out implementing DCGANS!!

创建者 sarithanakkala

Jun 23, 2020


创建者 vijayalode

Jun 24, 2020


创建者 Akshita S

Jul 26, 2020

A bit overpriced for the amount of knowledge being shared.

创建者 Simon S R

Aug 31, 2020

Still room for a lot of improvements, average material