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Drawing tool for handwritten digits recognition using convolutional neural network models and the MNIST dataset.

License: GNU General Public License v3.0

Python 100.00%
cnn convolutional-neural-network convolutional-neural-networks handwritten-digit-recognition keras machine-learning mnist mnist-handwritten-digit-recognition mnist-handwritten-digits neural-network

mnist-handwritten-digits-cnn's Introduction

Welcome ๐Ÿ‘‹

Joel and Ellie, characters from the HBO series the last of us, riding into the sunset on a horse.
Figure: Joel and Ellie (characters from "The Last of Us") riding into the sunset.

My name is William Chen. I am a Data Scientist based in Italy. I have a Bachelor's degree in Mathematics (2019-2022)1 and a Master's degree in Data Science (2022-2023). I like exploring different variety of fields when it comes to programming, however, I mainly deal with data.2

๐Ÿ’ป Programming Languages

I don't have a strong academic background in programming or computer science. I am mostly self-taught, and have taken a few courses on JavaScript, Python, R, and SQL. But I mainly program in Python and JavaScript. I am also learning a different range of languages such as C++, PHP, and Julia.

๐Ÿ“ Projects

I haven't had the chance to work on any big individual projects outside of the academic environment yet. However, some of the projects I have worked on are:

  • ๐Ÿ‘ฅ U.S. 2016 Election Statistics (BSc)
  • ๐Ÿ‘ค Random Matrix Theory and The Riemann Hypothesis (BSc)
  • ๐Ÿ‘ค Disproportionality in Stop and Search Action in London (MSc)

I am always open to new acquaintances or job opportunities so feel free to contact me on the socials linked on my profile or visit my contacts page!

Footnotes

  1. BSc Mathematics UG Prize โ†ฉ

  2. While I am decent at programming, I have no expertise in using GitHub. Thus, excuse the messy repositories. โ†ฉ

mnist-handwritten-digits-cnn's People

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mnist-handwritten-digits-cnn's Issues

Brush Smoothing

Currently, the brush is completely white. The image is made up of the byte values 0 and 255. However, in the MNIST dataset, you can see that there is a lot more variety to the numbers and they are usually floating points. This might not affect the predictions too much, but it definitely can cause some inconsistencies. Thus, implementing a smoother brush (still pixelated) would be nice.

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