author: Autoz date: 2018-7-22 autosize: true
Coursera-Course-Project-Shiny-Application-and-Reproducible-Pitch
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This Repo contains R codes and Markdown files for Shiny Project of Coursera Developing Data Products course.
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The application contain three part of malipulating and tuning MNIST Digits image data.
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The images were refered to their original IDX format from http://yann.lecun.com/exdb/mnist/. Dataset is from
mldata
. It is a public repository for machine learning data, supported by the PASCAL network.FetchMNIST DATA
from but mldata seens can not access so redirect to another links. -
Project Shiny App on ShinyApp.io please visit
PROJECT LINK
.
- Statistics of the distance of two Digits of certain n umber.
- Comparing with PCA compressed and PCA high dimentions compressed.
- Show the most similar images of Digits with certain Digit.
Shiny App R Codes and Guide on github please visit GITHUB REPO
.
app.R
show_compared_img func
show_compress_img func
show_recommend_img func
ui func
server func
others func
ShinyDigitSliders.Rpres
Display screenshots about Compared Images and Plot summaries distances between two certain Digit numbers.
Display screenshots about Compared Images or summary distance between two certain Digit numbers. You can choose PCA (if n > p)and PCA high dimension (if p >> n) method to compress.
Display screenshots about Similar Images with certain Digit numbers. It can select different certain Digit numbers and sample range for illustrating how similar with current Digit.
END