Foundations of Core ML - Learn by Building Apps

Students learn the Foundations of CoreML through a hands-on Project
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Foundations of Core ML - Learn by Building Apps.

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Course Outline

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

Core ML Basics

Intro to App - Core ML Photo Analysis - 04:26

What is Machine Learning? - 07:47

What is Core ML? - 05:04

Creating Xcode Project - 02:43

Building ImageVC in Interface Builder / Wiring Up - 07:41

Creating ImageCell - 08:13

Creating FoodItems Helper File - 07:02

Creating Custom 3x3 Grid UICollectionViewFlowLayout - 09:12

Choosing, Downloading, Importing Core ML Model - 05:18

Passing Images Through Core ML Model - 12:19

Handling Core ML Prediction Results - 09:42

Challenge - Core ML Photo Analysis - 01:16

Course Prerequisite - Build a Handwriting Recognition App using CoreML - 01:16

Series Complete - 01:16

Course Description

Core ML has been touted as one of the most powerful machine learning frameworks introduced by Apple.This course will take a comprehensive look into the capabilities of the powerful ready-to-use models that come equipped with Core ML. Through a hands-on project, students will build an App that is able to accurately recognize images based on a pre-trained Core ML model. In addition to Machine Learning and Core ML, students will also learn:

  • Creating an Xcode Project
  • Building ImageVC in Interface Builder
  • Creating ImageCell
  • Downloading and Importing Core ML models
  • Handling Core ML prediction results

This course is an absolute essential for students interested in coding cutting-edge apps using the latest in Machine Learning technology by Apple. 

Foundations of Core ML - Learn by Building Apps

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