Develop Intelligent iOS Apps with Swift: Understand Texts, Classify Sentiments, and Autodetect Answers in Text Using NLP
Autor Özgür Sahinen Limba Engleză Paperback – 4 dec 2020
- You'll explore a wide range of text processing topics, including reprocessing text, training custom machine learning models, converting state-of-the-art NLP models to CoreML from Keras, evaluating models, and deploying models to your iOS apps. You’ll develop sample apps to learn by doing. These include apps with functions for detecting spam SMS, extracting text with OCR, generating sentences with AI, categorizing the sentiment of text, developing intelligent apps that read text and answers questions, converting speech to text, detecting parts of speech, and identifying people, places, and organizations in text.
- Convert state-of-the-art NLP models to CoreML from Keras
- Teach your apps to predict words while users are typing with smart auto-complete
Smart app development involves mainly teaching apps to learn and understand input without explicit prompts from their users. These apps understand what is in images, predict future behavior, and analyze texts. Thanks to natural language processing, iOS can auto-fix typos and Siri can understand what you're saying. With Apple’s own easy-to-use tool, Create ML, they’ve broughtaccessible ML capabilities to developers.
Develop Intelligent iOS Apps with Swift will show you how to easily create text classification and numerous other kinds of models.
What You'll Learn
- Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox
Who This Book Is For
Novice developers and programmers who wish to implement natural language processing in their iOS applications and those who want to learn Apple's native ML tools.
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Specificații
ISBN-13: 9781484264201
ISBN-10: 1484264207
Pagini: 169
Ilustrații: XIII, 169 p. 81 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484264207
Pagini: 169
Ilustrații: XIII, 169 p. 81 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Cuprins
Chapter 1: Gentle Introduction to ML and NLP.- Chapter 2: Introduction to Apple ML Tools.- Chapter 3: Text Classification.- Chapter 4: Text Generation.- Chapter 5: Find Answers in a Text Document.- Chapter 6: Text Summarization.- Chapter 7: Integrating Keras Models.
Notă biografică
Özgür Sahin has been developing iOS software since 2012. He holds a bachelors degree in computer engineering and a masters in deep learning. Currently, he serves as CTO for Iceberg Tech, an AI solutions startup. He develops iOS apps focused on AR and Core ML using face recognition and demographic detection capabilities. He writes iOS machine learning tutorials for Fritz AI and also runs a local iOS machine learning mail group to teach iOS ML tools to Turkey. In his free time, Özgür develops deep learning based iOS apps.
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Caracteristici
Build literate, language understanding apps Train custom machine learning models for iOS development Develop intelligent apps that read text and answer questions