Fragmented - Android Developer Podcast

The Fragmented Podcast is a podcast for Android Developers hosted by Donn Felker and Kaushik Gopal. Our goal is to help you become a better Android Developer. We chat about topics such as Testing, Dependency Injection, Android Patterns and Practices, useful libraries and much more. We will also be interviewing some of the top Android Developers out there. Subscribe now and join us on the journey of being an Android Developer.


episode 162: 161: Machine Learning on Android with ML Kit and TensorFlow with Dan Jarvis

In this show, Donn talks with Dan Jarvis about Machine Learning on Android with ML Kit and Tensor flow. They dive deep into what ML (Machine Learning) is, what you need to know as a developer and how to apply those things to build ML applications on Android. They tal about what you can do on Android in regards to ML, model training and running the models on the device. You may be wondering if you should include the model in your app or if it should live on a server, that's discused as well and the reasons for it. They wrap up the show with some examples of what you could build and some great resources to get you started. Enjoy Shownotes

  • What Can Machine Learning Do?
  • ML Kit
  • ML Kit Demo Video
  • ML Kit Quickstart
  • Image Labeling Example
  • Custom Models
  • How Does Prisma Work?
  • Cucumber Example
  • Tensorflow Demo Apps
  • Inside AI Newsletter
  • TensorFlow Lite
  • TensorFlow Lite (TF Dev Summit '19) - [VIDEO]
  • Custom On-Device ML Models with Learn2Compress
  • Microcontoller Support
  • Face Generation
  • DroidCon NYC Applied Tensorflow iN Android Apps
Sponsors ????
  • - Your code is broken. Let’s fix it together -
  • Contact Dan Jarvis on LinkedIn, Medium or GitHub
  • Donn Felker - @donnfelker (Twitter) and donnfelker (Instagram)
  • Kaushik Gopal - @kaushikgopal (Twitter) and kaushikgopal (Instagram)
  • Fragmented on Twitter: @fragmentedcast
  • Our YouTube channel
  • Join thousands of other developers on our free chat server. Ask questions, answer questions, be part of the community at our The Fragmented Discord chat


 2019-05-20  59m