00 Course Overview

CoreML SwiftUI Masterclass - Machine Learning App Development

00 Course overview

00a What is Machine Learning

00b (Prerequisite) Introduction to Xcode

00. Intro And Demo (6:48)
01. General Interface Intro (15:06)
02. File System Introduction (13:24)
03. Viewcontroller Intro (6:53)
04. Storyboard File Intro (17:28)
05. Connecting Outlets And Actions (14:12)
06. Running An Application (10:06)
07. Debugging An Application (11:40)
XCode Intro

00c (Prerequisite) Swift Language Basics - 01. Variable and Constants

00. Language Basics Topics List (5:14)
00. Learning Goals (4:24)
01. Intro To Variables And Constants (16:16)
02. Primitive Types (19:07)
03. Strings (19:11)
05. Tuples (14:39)
06. Type Conversions (23:40)
04. Nil Values (13:16)
07. Assignment Operators (11:43)
08. Conditional Operators (12:51)
Source Files

00c - 02. Collection Types

00.Topics-List-And-Learning-Objectives (3:36)
01. Intro To Collection Types (10:57)
02. Creating Arrays (5:18)
03. Common Array Operations (25:26)
04. Multidimensional Arrays (8:03)
05. Ranges (9:59)
Source Files

00c - 03. Control flow

00. Topics List And Learning Objectives (4:06)
01. Intro To If And Else Statements (10:07)
02. Else If Statements (9:13)
03. Multiple Simultaneous Tests (12:58)
04. Intro To Switch Statements (9:46)
05. Advanced Switch Statement Techniques (16:25)
06. Testing For Nil Values (12:15)
07. Intro To While Loops (14:51)
08A. Intro To For...In Loops (14:39)
08B Intro To For...In Loops (Cont'd) (11:19)
09. Complex Loops And Loop Control Statements (20:05)
Source Files

00c - 04. Functions

00. Topics List And Learning Objectives (4:16)
01. Intro To Functions (20:19)
02. Function Parameters (12:01)
03. Return Statements (14:26)
04A. Parameter Variations - Argument Labels (9:23)
04B. Parameter Variations - Default Values (5:50)
04C. Parameters Variations - Inout Parameters (9:03)
04D. Parameter Variations - Variadic Parameters (11:11)
05. Returning Multiple Values Simultaneously (7:46)
Source Files

00c - 05. Classes, Struct and Enums

00. Topics List And Learning Objectives (5:25)
01. Intro To Classes (16:23)
02A. Properties As Fields - Add To Class Implementation (13:43)
02B. Custom Getters And Setters (8:44)
02C. Calculated Properties (24:12)
02D. Variable Scope And Self (13:15)
02E. Lazy And Static Variables (14:35)
03A. Behaviour And Instance Methods (16:38)
03B. Class Type Methods (7:42)
04. Class Instances As Field Variables (8:52)
05A. Inheritance, Subclassing And Superclassing (24:06)
05B. Overriding Initializers (13:41)
05C. Overriding Properties (16:30)
05D. Overriding Methods (10:33)
06. Structs Overview (20:24)
07. Enumerations (16:30)
08. Comparisons Between Classes, Structs And Enums (14:40)
Source files

00d (Prerequisite) Introduction to SwiftUI - 01 SwiftUI Overview

00d - 02 Build an App with Basic View Objects

01 Build A Text Object (9:24)
02 Build An Image Object (3:41)
03 Add An Image From The Web (3:32)
04 Add An Image From The Web (10:32)
05 Build A Button (5:07)
06 Build A Toggle Button (7:09)
07 Build A Slider (9:09)
08 Build A View From A Collection (7:10)
Source Files

00d - 03 Build Layout Objects

01 Customize Stack Layouts (4:28)
02 Control Spacing Around Views (7:55)
03 Force Views To One Side (5:29)
04 Layer Views On Top Of Each Other (4:50)
Source Files

00d - 04 Build Events

01 Sentiment analysis with Natural Language CoreML

00A What Is Sentiment Analysis (4:39)
00B Natural Language Framework (4:32)
01 Build A New Swiftui App For Sentiment Analysis (8:59)
02 Perform Sentiment Analysis In SwiftUI (7:38)
03 Change Color Depending On Sentiment (4:56)
Source files

02 Tabular Classification with CreateML

03 Neural Networks Introduction

04 Classify images with SwiftUI app and MobileNetV2 neural network

01 Load a CoreML model into a new Xcode project (11:00)
02 Add images for classification (6:31)
03 Enable user to loop through images (5:40)
04 Import CoreML model into the view (5:28)
05 Resize image for model- (6:26)
05A Resizing Image Overview (7:44)
06 Convert image to buffer for model (8:55)
06A Image To Buffer Overview (6:54)
07 Test the model on image classification (8:55)
Source files

05 Object detection with Swift Playgrounds and YOLOv3

00 Tip - How To Unhide Library Folder (1:22)
01 Build A New Xcode Project To Compile Model (4:44)
02 Build A Playground With Object Detection Model (4:28)
03 Instantiate A Model Object (6:12)
04 Build An Image Analysis Request (7:23)
05 Resize Image For Model (9:36)
06 Convert Image To Buffer For Model (9:47)
07 Test Object Detection On Image (4:53)
Source files