Downloading CoreML Model | AzamSharp School

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Machine Learning in iOS Using Swift and Create ML

Introduction

Welcome (1:47)
Prerequisites (1:23)
Exercise Files (0:26)
Private Slack Channel & Newsletter
Quarterly Live Q&A Sessions
Where did you hear about this course?
Refer a friend program
What is Machine Learning? (9:10)
What is Create ML? (1:06)

Image Detection - Integrating an Existing Model

Downloading CoreML Model (3:17)
Testing the Model (9:16)
Implementing the User Interface (5:57)
Predicting the Image (12:16)
Displaying Probabilities (11:15)
Resources

Image Recognition Project - Cats vs Dogs

What are you building? (0:30)
Downloading Image Dataset from Kaggle (4:28)
Training and Evaluating Model (5:40)
Integrating Model in an iOS Application (7:23)
Selecting Photo from Photo Library (15:19)
Taking Photo from the Camera (11:55)
Resources

Sentiment Analysis Project - News

What is Sentiment Analysis? (1:56)
Downloading the Dataset from Kaggle (5:48)
Training and Creating Model Using Xcode Playgrounds (16:06)
[Optional] - Extracting Data into Folders Using Python (10:49)
[Optional] - Training Using Create ML (4:51)
Integrating Model into a SwiftUI Application (5:35)

Object Detection - Integrating an Existing Model

What is Object Detection? (0:58)
Downloading Object Detection Model from Apple Website (1:42)
Tour of the Starter Project (1:36)
Understanding Vision Framework (1:37)
Performing Object Detection Using YOLOv3Tiny Model Through Vision Framework (13:22)
Displaying Observations on the Screen (5:16)
Displaying the Bounding Boxes (5:20)

Object Detection - Custom Models

What we will be building? (0:33)
Using Visio ML to Annotate Images (10:41)
Training the Object Detection Model (3:35)
Integrating TrafficLightObjectDetector (2:15)
Resources

Tabular Data Project: Predicting Car Prices Using Carvana Data

What we will be building? (1:15)
Downloading Carvana Dataset from Kaggle (3:28)
APIs to Handle Tabular Data (4:56)
Creating ML Model Using DataFrame (16:28)
Creating ML Model with Specific Criteria (13:23)
Exporting List of Cars as JSON (8:53)
Displaying Predicted Car Prices (8:10)
Resources

Conclusion

Next Steps (0:40)

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Downloading CoreML Model

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