Introduction
•Prerequisites
•Exercise Files
•Credit: Practical Artificial Intelligence with Swift
•Resource: Practical Artificial Intelligence with Swift
•Machine Learning and Artificial Intelligence
•What is Artificial Intelligence?
•What is Machine Learning?
•Why Swift?
•Why Machine Learning and AI?
•On-Device Machine Learning vs Remote Machine Learning
•What is Deep Learning?
•Resources: Neural Networks
•Image Classification – Preexisting Models
•What is Image Classification?
•Downloading Preexisting Machine Learning Model
•Integrating Model in iOS App
•Review
•Performing and Displaying Image Classification
•Optional: Displaying Classification Details
•Image Classification – Training Models
•What we will be building?
•Understanding the Steps
•Downloading the Dataset
•Training Model Using CreateML
•What is Vision Framework?
•Implementing Vision Classifier
•Implementing the Classify Function for Vision Classifier
•Performing Image Classification and Displaying Results
•Audio
•Downloading and Structuring the Dataset
•Training Sound Classification Using Create ML
•Integrating Sound Classifier with iOS App
•Resource: Sound Classification Using Turi Create
•Face Detection
•What is Face Detection?
•Detecting Number of Faces in an Image
•Highlighting Faces Using Face Detection
•Recognizing Facial Landmarks Using Vision
•Text and Barcode Detection
•What is Text and Barcode Detection?
•Implementing Text Detection
•Implementing Barcode Detection
•Resource: Generating Barcodes
•Image Classification Using Turicreate
•Downloading and Setting Up Python Using Anaconda
•Understanding the Dataset
•Implementing Python Script for Downloading Images
•Training Model Using Turi Create
•Integrating Model with iOS App
•Text and Language
•Understanding Machine Learning and AI in Text and Language
•Language Identification
•Named Entity Recognition
•Assignment – Language Identification Using NSLinguisticTagger
•Solution – Language Identification Using NSLinguisticTagger
•Sentiment Analysis
•What is Sentiment Analysis?
•Performing Data Analysis Using Pandas
•Training Model Using Create ML
•Training Model Using Playgrounds
•Importing Model and Displaying Classification
•Sentiment Analysis – Custom Text Classifiers
•Downloading Dataset
•Training Core ML Model Using Xcode Playgrounds
•Implementing ReviewTagger
•Performing Classification
•Drawing Recognition
•Preparing the Dataset
•Training the Model
•Integrating Model into an App
•Activity Recognition Using Core Motion Framework
•Understanding AI in Motion and Gestures
•Style Transfer Using Turi Create
•What will be building?
•What is Style Transfer?
•Sentence Generation Using GPT2 Model
•Understanding the GPT2 Model
•Downloading the GPT2 and DISTIL Models
•Resource: GPT2 and DISTIL Models
•Questions and Answers Using BERT and DistilBERT
•Understanding the App
•Resources: Downloading the Model
•Recommending Ingredients
•Building Dataset
•Integrating Recommendations Model with iOS App
•Predicting Pricing Using Regression
•What is Regression?
•Resource: Mathematics for Machine Learning : Linear Regression
•Training the Dataset Using Playgrounds
•Training the Dataset Using Create ML
•Resource: Creating a Model from Tabular Data
•Augmented Reality with AI
•What is Augmented Reality?
•Adding MobileNetV2 Model to the App
•Executing and Handling Vision Request
•Process and Display Results
•Conclusion
•Next Steps
•Bonus
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