Chevron Left
返回到 Generate Synthetic Images with DCGANs in Keras

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

246 个评分


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


1 - Generate Synthetic Images with DCGANs in Keras 的 25 个评论(共 47 个)

创建者 Krishna V D

May 29, 2020

创建者 Saida M D C

May 25, 2020


Aug 1, 2020

创建者 Sai D P

Jun 12, 2020

创建者 Paras V

May 31, 2020

创建者 Andrea R

May 13, 2020

创建者 Ha Q

Jun 22, 2020

创建者 Никита А Ф

Sep 10, 2020

创建者 Abrar I A

May 27, 2020

创建者 Abhishek P G

Jun 14, 2020

创建者 David C

Aug 20, 2021

创建者 Sumit A T

Jul 21, 2020

创建者 Warunee S

Jul 4, 2020

创建者 sunil k s

Aug 13, 2020

创建者 Bappaditya D

Jun 4, 2021

创建者 Adrien A

Dec 21, 2020

创建者 MS. S S

Aug 15, 2020

创建者 Ahmed A

May 21, 2020

创建者 Ali A

Jun 19, 2020

创建者 Mayank S

May 1, 2020

创建者 Md. S A

Sep 6, 2020

创建者 Pratikshya M

Nov 2, 2020

创建者 Rishabh R

May 17, 2020

创建者 Vishnu N

Oct 18, 2020

创建者 Yuvraj S C

Sep 24, 2020