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Building a handwritten digits classifier (image classification, k-nearest neighbors, deep neural networks)

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Building A Handwritten Digits Classifier

In this Project, we'll explore the effectiveness of deep, feedforward neural networks at classifying images.

Scikit-learn contains a number of datasets pre-loaded with the library, within the namespace of sklearn.datasets. The load_digits() function returns a copy of the hand-written digits dataset from UCI (https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits).

The procedure is described in the attached notebook handwritten_digits.ipynb.

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Building a handwritten digits classifier (image classification, k-nearest neighbors, deep neural networks)

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