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Image Compression and Generation using Variational Autoencoders in Python(으)로 돌아가기

Rhyme의 Image Compression and Generation using Variational Autoencoders in Python 학습자 리뷰 및 피드백

5.0
별점
5개의 평가
1개의 리뷰

강좌 소개

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....
필터링 기준:

Image Compression and Generation using Variational Autoencoders in Python의 1개 리뷰 중 1~1

교육 기관: JONNALA S R

May 07, 2020

Good Initiation..