Preface Part I． Fundamentals and Tools 1．ArtificialIntelligence!7 Practical AI with Swift…and Python Code Examples Why Swift Why AI What Is AI and What Can It Do Deep Learning versus AI Where Do the Neural Networks Come In Ethical，Effective，and Appropriate Use of AI Practical AI Tasks A Typical Task·Based Approach 2．ToolsforArtiflciaIIntelligence Why Top Down GreatToolsforGreatAI ToolsfromApple CoreML CreateML Turi Create Apple's Other Frameworks CoreML Community TOols Tools from Others Swift for TensorFlow TensorFlow to CoreML Model Converter Other Converters AI-Adjacent Tools Python Keras，Pandas，Jupyter,Colaboratory,Docke~Oh Other People's Tools What's Next 3．FindingorBuilding aDataset Planning and Identifying Data to Target Negation as Failure Closed-Wbrid Assumptions Finding a Dataset Where to Look What to Look Outfor Building a Dataset Data Recording Data Collation Data Scraping Preparing a Dataset Getting to Know a Dataset Cleaning a Dataset Transforming a Dataset verif)ring the Suitability of a Dataset Apple's Models PartlI．Tasks 4．Vision
Practical AI and Vision Task：Face Detection Problem and Approach Building the App What Just Happened?How Does This Work Improving the App Even More Improvements Task：Barcode Detection Task：Saliency Detection Task：Image Similarity Problem and Approach Building the App What Just Happened?How Does This Work Next Steps Task：Image Classification Problem and Approach Building the ipp AI T00lkit and Dataset Incorporating the Model in the App Improving the ipp Task：Drawing Recognition Problem and Approach AI T00lkit and Dataset Buildingthe App What's Next Task：Style Classification Converting the Model UsingtheModel Next Steps 5．Audio Audio and Practical AI Task：Speech Recognition Problem and Approach Building the ipp What Just Happened?How Does This Work What'sNext Task：Sound Classification Problem and Approach Buildingtheipp AI T00lkit and Dataset Creating a Model Incorporating the Model in the ipp Improvingthehpp Next Steps 6．Textand Language Practical AI，Text，and Language Task：Language Identification Task：Named Entity Recognition Task：Lemmatization，Tagging，and Tokenization Parts of Speech
Tokenizing a Sentence Task: Sentiment Analysis Problem and Approach Building the App AI T00lkit and Dataset Creating a Model Incorporating the Model in the ApP Task：Custom Text Classifiers AI T00lkit and Dataset Next Steps 7．Motion andGestures Practical AI，Motion，and Gestures Task: Activity Recognition Problem and Approach Building the App What Just Happened?How Does This Wbrk Task：Gestural Classification for Drawing Problem and Approach AI 1bolkit and Dataset Building the App Task：Activity Classification Problem and Approach AI Toolkit and Dataset Using the Model Task：Using Augmented Reality with AI Next Steps 8．Augmentation Practical AI and Augmentation Task：Image Style Transfer Problem and Approach Building the App AI Tbolkit and Dataset Creating a Model Incorporating the Model in the App Task：Sentence Generation What Just Happened?How Does This Work Task: Image Generation with a GAN Problem and Approach AI Toolkit and Dataset Building an App Task: Recommending Movies Problem and Approach AI Toolkit and Dataset Using a Recommender Task: Regressor Prediction Problem and Approach AI Toolkit and Dataset Using the Regressor in an App Next Steps 9·Beyond Features
Task：Installing Swift for TensorFloW Adding Swift for TensorFlow to Xcode Installing Swift for TensorFlow with Docker and Iupvter Using Python with Swift Task：Training a Classifier Using Swift for TensorFlow Task：Using the CoreML Community Tools The Problem The Process Using the Converted Model On-Device Model Updates Task：Downloading Models On-device Next Steps Part III．Beyond 10．AIandMEMethods Terminology AI／ML Components AI／ML Objectives TypesofValues Classification Methods Applications Clustering Methods Applications Next Steps 11．Looking Underthe Hood A Look Inside CoreML Vision Face Detection Barcode Detection Saliency Detection Image Classification Image Similarity Bitmap Drawing Classification Audio Sound Classification Speech Recognition Text and Language Language Identification Named Entity Recognition Lemmatization，Tagging，Tokenization Recommendations Prediction Text Generation Generation The Future of CoreML Next Steps 12．TheHardWay Behind CoreML's Magic Task：Building XOR
The Shape of Our Network TheCode BuildingIt Up MakingItWork TearingItDown Using the Neural Network Approximations of XOR Training Next Steps Index
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