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How Captricity built a human-level handwriting recognition engine using data-driven AI
case study

How Captricity built a human-level handwriting recognition engine using data-driven AI

by Ramesh Sridharan
July 2019
29m
English
O'Reilly Media, Inc.
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)

Overview

Captricity has deployed a machine learning pipeline that can read handwriting at human-level accuracy. Ramesh Sridharan discusses the big ideas the company learned building and deploying this system, using data to identify specific problems to solve using AI and to evaluate and validate the algorithm itself and the overall system once deployed.

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Publisher Resources

ISBN: 0636920423560