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The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.

License: MIT License

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computer-vision convolutional-neural-networks deep-learning deep-neural-networks handwritten-digit-recognition machine-learning-algorithms

handwritten-digit-classification's Introduction

Hi there ๐Ÿ‘‹

Hey, I'm Aditya, a developer by psyche and soul!

Completed my graduation!!

Now onto my next adventure.

Working as Software Engineer at Wells Fargo, making new connections and memories and lots of learning.

If you want to talk more about website development and AI or machine learning development, or random storytelling ping me up I'm always up for a cup of coffee and good talk.

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