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Отзывы учащихся о курсе Image Compression and Generation using Variational Autoencoders in Python от партнера Coursera Project Network

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Оценки: 68
Рецензии: 13

О курсе

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....

Лучшие рецензии

AF
28 июля 2020 г.

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

AS
19 июня 2020 г.

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 из 13 отзывов о курсе Image Compression and Generation using Variational Autoencoders in Python

автор: Aida F

29 июля 2020 г.

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

автор: ANKIT B S

20 июня 2020 г.

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

автор: Debadri B

29 мая 2020 г.

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

автор: Fernando C

28 сент. 2020 г.

A great knowledge of how to use VAEs in PyTorch.

автор: JONNALA S R

7 мая 2020 г.

Good Initiation..

автор: Gaikwad N

23 июля 2020 г.

Excellent

автор: Doss D

2 июля 2020 г.

Thank you

автор: aithagoni m

13 июля 2020 г.

good

автор: p s

25 июня 2020 г.

Nice

автор: sarithanakkala

25 июня 2020 г.

Good

автор: tale p

17 июня 2020 г.

good

автор: Thomas J V

18 сент. 2020 г.

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

автор: Simon S R

29 авг. 2020 г.

Cannot recommend it.