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Avis et commentaires pour d'étudiants pour Generate Synthetic Images with DCGANs in Keras par Coursera Project Network

4.5
étoiles
241 évaluations
47 avis

À propos du cours

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....

Meilleurs avis

AA

26 mai 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.

AG

13 juin 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

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1 - 25 sur 47 Avis pour Generate Synthetic Images with DCGANs in Keras

par Krishna V D

29 mai 2020

This course honestly felt like a joke, you're probably better off reading a medium article about GANs. Sure, It provides a very minimal objective, there are initially no instructions so there's nothing to explore, soon enough as you get into writing code, the more of a medium article it turns into except in video format.

par Saida M D C

25 mai 2020

I learned, now I understand. Thank you

par DARSHAN D

1 août 2020

Really great, But if you are coming from the TensorFlow specialization on Coursera, then you won't understand each line of code. You will get most of it, what it does as a whole, but not every line. So a little expertise on TensorFlow is required. Other than it was really great!

par Sai D P

12 juin 2020

A great introduction to DCGANs application on a prominent dataset. However, I would have wanted a little more there and the reasoning behind using techniques. This is a great place if you want to learn the implementation and tinkering with a general DCGAN. Great instructor.

par Paras V

31 mai 2020

The course was good but the cloud server had some issues initially but later that worked fine. Kudos to the Instructor!

par Andrea R

13 mai 2020

It does not really check what you did

par Ha Q

22 juin 2020

I would choose to learn online rather than study this course. The course was not well-prepared.

par Никита А Ф

10 sept. 2020

Very poor explanation, a lot of unclear moments

par Abrar I A

27 mai 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.

par Abhishek P G

14 juin 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

par David C

20 août 2021

V​ery clear and concise instructions, providing enough detail and references for further study.

par Sumit A T

21 juil. 2020

Excellent instructor. Dense with content and comments explaining bits of code.

par Warunee S

4 juil. 2020

I know DCGANs more for imploving skill and help you create image quanlity.

par sunil k s

13 août 2020

This was very good guided project to understand practically

par BAPPADITYA D

4 juin 2021

Very well explanation towards completion of the code.

par Adrien A

21 déc. 2020

Quick and easy to follow, very informative as well!

par MS. S S

15 août 2020

It was a great experience with the Guided projects

par Ahmed A

21 mai 2020

It's a very good start to know more about GANs

par Ali A

19 juin 2020

need more projects like this it was awesome

par Mayank S

1 mai 2020

Great Course, Learned a lot. Thanks Snehan.

par Md. S A

6 sept. 2020

It's a quick and very effective course

par Pratikshya M

2 nov. 2020

A good basic understanding of DCGANS.

par Rishabh R

17 mai 2020

Mostly likeable project & good

par Vishnu N

18 oct. 2020

Amazing Course on DCGans.

par Yuvraj S C

24 sept. 2020

ek dam tanch maal h