Recognizing Handwritten Digits with Machine Learning - Maple Application Center
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Recognizing Handwritten Digits with Machine Learning

Author
: Maplesoft AuthorSamir Khan
Engineering software solutions from Maplesoft
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Using the DeepLearning package, this application trains a two-layer neural network to recognize the numbers in images of handwritten digits. The trained neural network is then applied to a number of test images.

The training and testing images are a very small subset of the MNIST database of handwritten digits; these consist of 28 x 28 pixel images of a handwritten digit, ranging from 0 to 9.

The DeepLearning package is a partial interface to Tensorflow, an open-source machine learning framework.

Application Details

Publish Date: April 09, 2018
Created In: Maple 2018
Language: English

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