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README.md

Kaggle competition: Digit Recognizer

Kaggle competition: https://www.kaggle.com/c/digit-recognizer/data

Kaggle instructions - Classify handwritten digits using the famous MNIST data

The goal in this competition is to take an image of a handwritten single digit, and determine what that digit is. As the competition progresses, we will release tutorials which explain different machine learning algorithms and help you to get started.

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The data for this competition were taken from the MNIST dataset. The MNIST ("Modified National Institute of Standards and Technology") dataset is a classic within the Machine Learning community that has been extensively studied. More detail about the dataset, including Machine Learning algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html.

Started: 8:43 pm, Wednesday 25 July 2012 UTC Ends: 11:59 pm, Saturday 31 December 2016 UTC (1,620 total days) Points: this competition does not award ranking points Tiers: this competition does not count towards tiers

Results

0.99071 kaggle leaderboard score for 15 min of training (GPU 650m, 7000 iterations)