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Bewertung und Feedback des Lernenden für Image Compression and Generation using Variational Autoencoders in Python von Coursera Project Network

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72 Bewertungen

Über den Kurs

In this 1-hour long project, you will be introduced to the Variational Autoencoder. We will discuss some basic theory behind this model, and move on to creating a machine learning project based on this architecture. Our data comprises 60.000 characters from a dataset of fonts. We will train a variational autoencoder that will be capable of compressing this character font data from 2500 dimensions down to 32 dimensions. This same model will be able to then reconstruct its original input with high fidelity. The true advantage of the variational autoencoder is its ability to create new outputs that come from distributions that closely follow its training data: we can output characters in brand new fonts. 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....

Top-Bewertungen

AF

28. Juli 2020

It is highly recommended to those who has a basic knowledge in ML and like to start using VAEs in pytorch framework. :-)

AS

19. Juni 2020

It was really helpful. I am new to PyTorch but it gave a good level of understanding overall. thank you

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1 - 13 von 13 Bewertungen für Image Compression and Generation using Variational Autoencoders in Python

von Aida F

•

29. Juli 2020

It is highly recommended to those who has a basic knowledge in ML and like to start using VAEs in pytorch framework. :-)

von Thomas J V

•

18. Sep. 2020

Just fine for someone who has enough idea on coding as well as some idea on VAE

von ANKIT B S

•

20. Juni 2020

It was really helpful. I am new to PyTorch but it gave a good level of understanding overall. thank you

von Debadri B

•

29. Mai 2020

Good project. Add some more clarity to it , especially to the mathematical background.

von Fernando C

•

28. Sep. 2020

A great knowledge of how to use VAEs in PyTorch.

von JONNALA S R

•

7. Mai 2020

Good Initiation..

von Gaikwad N

•

23. Juli 2020

Excellent

von Doss D

•

2. Juli 2020

Thank you

von aithagoni m

•

13. Juli 2020

good

von p s

•

25. Juni 2020

Nice

von sarithanakkala

•

25. Juni 2020

Good

von tale p

•

17. Juni 2020

good

von Simon S R

•

29. Aug. 2020

Cannot recommend it.