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237 Bewertungen
46 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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. Juni 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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26 - 46 von 46 Bewertungen für Generate Synthetic Images with DCGANs in Keras

von SHANKAR

14. Juni 2020

Trainer was awesome

von Gangone R

4. Juli 2020

very useful course

von Javier F B

24. Apr. 2020

Excellent course.

von Ayush G

6. Okt. 2020

nice project

von Umit K

9. Sep. 2020

Thank you.

von Rajasinghe R

28. Mai 2020

very goood

von Santiago G

22. Aug. 2020

Thanks!

von VETTORI F M

30. Aug. 2020

easy

von p s

23. Juni 2020

Good

von tale p

16. Juni 2020

good

von 321810306031 A C H

13. Juli 2020

tx

von Ebin Z

9. Juni 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.

von Diego P P

10. Juni 2020

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

von Svitlana Z

5. Mai 2020

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

von Shakshi S

6. Aug. 2020

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

von Srinadh R B

11. Sep. 2020

Nice choice to start with the understanding of GANs.

von Deep G

21. Mai 2020

Good way to start out implementing DCGANS!!

von sarithanakkala

23. Juni 2020

Good

von vijayalode

24. Juni 2020

na

von Akshita S

26. Juli 2020

A bit overpriced for the amount of knowledge being shared.

von Simon S R

31. Aug. 2020

Still room for a lot of improvements, average material