Create ML for iOS Developers – A Beginner’s Guide

سرفصل های دوره

Covers: Image Classification, Object Detection, Sentiment Analysis, Tabular Data, Xcode Playgrounds Training

1. Introduction

1. Introduction

2. Prerequisites

3. Exercise Files

4. What is Machine Learning

5. What is Create ML

2. Image Detection - Integrating an Existing Model

1. Downloading CoreML Model

2. Testing the Model

3.1 hello-ml-user-interface.zip

3. Implementing the User Interface

4.1 hello-ml-predicting-images.zip

4. Predicting the Image

5.1 hello-ml-displaying-predictions.zip

5. Displaying Probabilities

6. Resources.html

3. Image Recognition Project - Cats vs Dogs

1. What are you building

2. Downloading Image Dataset from Kaggle

3. Training and Evaluating Model

4.1 HelloCoreML-dogs-vs-cats.zip

4. Integrating Model in an iOS Application

5.1 HelloCoreML-cats-and-dogs-int-photo-library.zip

5. Selecting Photo from Photo Library

6.1 HelloCoreML-camera.zip

6. Taking Photo from the Camera

7. Resources.html

4. Sentiment Analysis Project - News

1. What is Sentiment Analysis

2.1 Sentiment Analysis for Financial News.html

2. Downloading the Dataset from Kaggle

3.1 sentiment-analysis-swift-playgrounds.zip

3. Training and Creating Model Using Xcode Playgrounds

4.1 financial-news-sentimental.zip

4. [Optional] - Extracting Data into Folders Using Python

5. [Optional] - Training Using Create ML

6.1 FinancialNews-sentiment-app.zip

6. Integrating Model into a SwiftUI Application

7. Resources.html

5. Object Detection - Integrating an Existing Model

1. What is Object Detection

2. Downloading Object Detection Model from Apple Website

3.1 ObjectDetectionDemo-starter.zip

3. Tour of the Starter Project

4. Understanding Vision Framework

5.1 object-detection-predicting-objects.zip

5. Performing Object Detection Using YOLOv3Tiny Model Through Vision Framework

6.1 object-detection-displaying-observations.zip

6. Displaying Observations on the Screen

7.1 object-detection-overlay.zip

7. Displaying the Bounding Boxes

6. Object Detection - Custom Models

1. What we will be building

2.1 Visio ML.html

2. Using Visio ML to Annotate Images

3. Training the Object Detection Model

4.1 traffic-light-detector-final.zip

4. Integrating TrafficLightObjectDetector

5. Resources.html

7. Tabular Data Project Predicting Car Prices Using Carvana Data

1. What we will be building

2. Downloading Carvana Dataset from Kaggle

3. APIs to Handle Tabular Data

4.1 carvana-no-filters.zip

4. Creating ML Model Using DataFrame

5.1 honda-toyota.zip

5. Creating ML Model with Specific Criteria

6.1 car-names.zip

6. Exporting List of Cars as JSON

7.1 final-code.zip

7. Displaying Predicted Car Prices

8. Resources.html

8. Conclusion

1. Next Steps

2. Bonus Lecture.html

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تولید کننده: Udemy