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AI and Machine Learning for on-Device Development : a programmer's guide /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol :
O'Reilly Media, Incorporated,
2021.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Moroney, Laurence. | |
| 245 | 1 | 0 | |a AI and Machine Learning for on-Device Development : |b a programmer's guide / |c Laurence Moroney. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol : |b O'Reilly Media, Incorporated, |c 2021. | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource (329 pages) | ||
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| 505 | 0 | |a 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 | |
| 520 | |a 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. Introduction to ML Kit -- Building a Face Detection App on Android -- Step 1: Create the App with Android Studio -- Step 2: Add and Configure ML Kit -- Step 3: Define the User Interface -- Step 4: Add the Images as Assets -- Step 5: Load the UI with a Default Picture. | ||
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a Object Detection in iOS with ML Kit. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on September 01, 2021). | |
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