Machine learning projects for mobile applications : build Android and iOS applications using TensorFlow Lite and Core ML / Karthikeyan NG
نوع المادة :
نصاللغة: الإنجليزية الناشر:Birmingham, UK : Packt Publishing, 2018وصف:iv, 235 pages : illustrations ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9781788994590
- 1788998464
- 9781788998468
- Build Android and iOS applications using TensorFlow Lite and Core ML
- QA76.76.A65 K378 2018
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
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كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.76.A65 K378 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000002220 | ||
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كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.76.A65 K378 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000005414 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
| QA76.76.A65 I846 2019 Docker for Rails developers : build, ship, and run your applications everywhere / | QA76.76.A65 I846 2019 Docker for Rails developers : build, ship, and run your applications everywhere / | QA76.76.A65 K378 2018 Machine learning projects for mobile applications : build Android and iOS applications using TensorFlow Lite and Core ML / | QA76.76.A65 K378 2018 Machine learning projects for mobile applications : build Android and iOS applications using TensorFlow Lite and Core ML / | QA76.76.A65 K637 2000 Oracle developer advanced forms & reports / | QA76.76.A65 K637 2000 Oracle developer advanced forms & reports / | QA76.76.A65 M367 2019 Mastering vba for microsoft office 365: 2019 edition / |
Includes bibliographical references
Chapter 1: Mobile Landscapes in Machine Learning.--Chapter 2: CNN Based Age and Gender Identification Using Core ML.--Chapter 3: Applying Neural Style Transfer on Photos.--Chapter 4: Deep Diving into the ML Kit with Firebase.--Chapter 5: A Snapchat-Like AR Filter on Android.--Chapter 6: Handwritten Digit Classifier Using Adversarial Learning.-- Chapter 7: Face-Swapping with Your Friends Using OpenCV.
Machine learning on mobile devices is the next big thing. This book presents the implementation of 7 practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning on a cross-platform mobile OS. You will get to work on image, text, and video datasets through these projects.
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