AI and Machine Learning for on-Device Development : a programmer's guide /

Mostrar otras versiones (1)

Chapter 2. Introduction to Computer Vision -- Using Neurons for Vision -- Your First Classifier: Recognizing Clothing Items -- The Data: Fashion MNIST -- A Model Architecture to Parse Fashion MNIST -- Coding the Fashion MNIST Model -- Transfer Learning for Computer Vision -- Summary -- Chapter 3. In...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Moroney, Laurence
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol : O'Reilly Media, Incorporated, 2021.
Edición:First edition.
Temas:
Machine learning.
Apprentissage automatique.
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Copyright
  • Table of Contents
  • Preface
  • Who Should Read This Book?
  • Why I Wrote This Book
  • Navigating This Book
  • Technology You Need to Understand
  • Conventions Used in This Book
  • Using Code Examples
  • O'Reilly Online Learning
  • How to Contact Us
  • Acknowledgements
  • Chapter 1. Introduction to AI and Machine Learning
  • What Is Artificial Intelligence?
  • What Is Machine Learning?
  • Moving from Traditional Programming to Machine Learning
  • How Can a Machine Learn?
  • Comparing Machine Learning with Traditional Programming
  • Building and Using Models on Mobile
  • Step 6: Call the Face Detector
  • Step 7: Add the Bounding Rectangles
  • Building a Face Detector App for iOS
  • Step 1: Create the Project in Xcode
  • Step 2: Using CocoaPods and Podfiles
  • Step 3: Create the User Interface
  • Step 4: Add the Application Logic
  • Summary
  • Chapter 4. Computer Vision Apps with ML Kit on Android
  • Image Labeling and Classification
  • Step 1: Create the App and Configure ML Kit
  • Step 2: Create the User Interface
  • Step 3: Add the Images as Assets
  • Step 4: Load an Image to the ImageView
  • Step 5: Write the Button Handler Code
  • Next Steps
  • Object Detection
  • Step 1: Create the App and Import ML Kit
  • Step 2: Create the Activity Layout XML
  • Step 3: Load an Image into the ImageView
  • Step 4: Set Up the Object Detector Options
  • Step 5: Handling the Button Interaction
  • Step 6: Draw the Bounding Boxes
  • Step 7: Label the Objects
  • Detecting and Tracking Objects in Video
  • Exploring the Layout
  • The GraphicOverlay Class
  • Capturing the Camera
  • The ObjectAnalyzer Class
  • The ObjectGraphic Class
  • Putting It All Together
  • Summary
  • Chapter 5. Text Processing Apps with ML Kit on Android
  • Entity Extraction
  • Start Creating the App
  • Create the Layout for the Activity
  • Write the Entity Extraction Code
  • Putting It All Together
  • Handwriting and Other Recognition
  • Start the App
  • Creating a Drawing Surface
  • Parsing the Ink with ML Kit
  • Smart Reply to Conversations
  • Start the App
  • Mock a Conversation
  • Generating a Smart Reply
  • Summary
  • Chapter 6. Computer Vision Apps with ML Kit on iOS
  • Image Labeling and Classification
  • Step 1: Create the App in Xcode
  • Step 2: Create the Podfile
  • Step 3: Set Up the Storyboard
  • Step 4: Edit the View Controller Code to Use ML Kit

Ejemplares similares