Discover how to implement handwriting recognition on iOS using Core ML and Swift in this 23-minute tutorial. Explore the integration of Core ML, the Vision Framework, and the MNIST machine learning model to recognize handwritten input directly from user touch drawings. Create a new project, design the user interface, implement canvas clearing functionality, and learn about classifications and image scaling. Access additional resources, including Core ML models and the CanvasView class, to enhance your learning experience. Join a supportive Slack community and consider exploring game development with the discounted course offer.
Overview
Syllabus
Introduction
Slack Workspace
Handwriting Recognition
Create New Project
User Interface
Clear Canvas
Classifications
Flatmap
Scale Image
Taught by
Brian Advent