Build a Handwriting Recognition App using CoreML

Learn to integrate Machine Learning to Apps through a Hands-on Exercise
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Build a Handwriting Recognition App using CoreML.

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Course Outline

A comprehensive list of all sections & lectures for this course can be found below.

Building a Handwriting Recognition App

Intro to App - Handwriting - 02:56

Building Interface / Wiring Up - 11:43

Drawing On Screen - 21:01

Importing Core ML Model / Reading Metadata - 05:17

Utilizing Core ML / Vision to Make Prediction - 17:31

Handling / Displaying Prediction Results - 15:14

Course Prerequisite - Analyze Visual Data with Machine Learning - 15:14

Next Course: Foundations of Core ML - Learn by Building Apps - 15:14

Course Description

In this exciting course, students learn to build a hand-writing prediction app for Android using Core ML. Students will explore the boundless possibilities of predictive apps through a hands-on project. When complete, this app will be able to accurately predict numbers and letters drawn by hand, based on a Machine Learning model, also created by students. 

This course is an absolute must for students interested in the foundations of Machine Learning as applicable to building Apps for mobile devices. 

Build a Handwriting Recognition App using CoreML

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youaccel has an average rating of 4.5/5 stars, across 93 courses.

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