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Voltar para Image Compression and Generation using Variational Autoencoders in Python

Comentários e feedback de alunos de Image Compression and Generation using Variational Autoencoders in Python da instituição Coursera Project Network

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68 classificações
13 avaliações

Sobre o curso

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....

Melhores avaliações

AF
28 de Jul de 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 de Jun de 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 de 13 Avaliações para o Image Compression and Generation using Variational Autoencoders in Python

por Aida F

29 de Jul de 2020

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

por ANKIT B S

20 de Jun de 2020

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

por Debadri B

29 de Mai de 2020

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

por Fernando C

28 de Set de 2020

A great knowledge of how to use VAEs in PyTorch.

por JONNALA S R

7 de Mai de 2020

Good Initiation..

por Gaikwad N

23 de Jul de 2020

Excellent

por Doss D

2 de Jul de 2020

Thank you

por aithagoni m

13 de Jul de 2020

good

por p s

25 de Jun de 2020

Nice

por sarithanakkala

25 de Jun de 2020

Good

por tale p

17 de Jun de 2020

good

por Thomas J V

18 de Set de 2020

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

por Simon S R

29 de Ago de 2020

Cannot recommend it.