by Yusuf Saber | Publisher: Packt Publishing | Release Date: October 2018 | ISBN: 9781789539875

Add intelligent features to your Android apps with ML Kit About This VideoHands-on exercises in identifying various vulnerabilities.Bring the power of machine learning into your smart mobile apps with a whole new user experience.Build exciting machine learning features, deploy them on the cloud, and try them out with other test objects. Use the amazing features provided by ML Kit to go into the real-world and create your own app.In DetailIt's crazy to see how Artificial Intelligence and Machine Learning are moving so fast and becoming the next big thing. The focus is on putting AI and Machine Learning into people's hands in their daily lives by bringing it to their mobile devices.ML Kit makes it easy to apply ML techniques to your apps by bringing Google's ML technologies together in a single SDK. With ML Kit you can have features such as text recognition, face recognition, barcode scanning, image labeling, and landmark recognition at your fingertips in your apps. In this course, you are going to implement all these features in your Android applications using ML Kit.After completing this course, you will be confident enough to build Android applications equipped with in-built Machine Learning features, providing an amazing user experience. You will be able to go into the world and create your own useful Machine Learning apps using ML Kit.All the codes are present at: https://github.com/PacktPublishing/Machine-Learning-for-Android-App-development-Using-ML-Kit

1. Chapter 1 : What Is ML Kit?
   • The Course Overview 00:03:02
   • What Is Machine Learning? 00:05:24
   • Intro to TensorFlow 00:02:17
   • Intro to ML Kit 00:04:04
2. Chapter 2 : Setting Up the App
   • Camera Setup 00:12:11
   • UI Setup 00:07:10
   • Preparing to Use ML Kit 00:03:18
3. Chapter 3 : Text Recognition
   • Implementing Text Recognition on the Device 00:10:56
   • Implementing Text Recognition on the Cloud 00:04:17
   • Trying out Text Recognition 00:04:40
4. Chapter 4 : Face Detection
   • Implementing Face Detection on the Device 00:04:28
   • Configuration of Face Detection 00:06:45
   • Trying out Face Detection 00:03:21
5. Chapter 5 : Barcode Scanning
   • Implementing Barcode Scanning on the Device 00:04:43
   • Trying out Barcode Scanning 00:02:42
6. Chapter 6 : Image Labeling
   • Implementing Image Labeling on the Device 00:04:12
   • Implementing Image Labeling on the Cloud 00:04:55
   • Configuration of Image Labeling 00:09:17
   • Trying out Image Labeling 00:05:01
7. Chapter 7 : Landmark Recognition
   • Implementing Landmark Recognition on the Cloud 00:06:59
   • Configuration of Landmark Recognition 00:03:45
   • Trying out Landmark Recognition 00:05:57