Fragments 2017

Fragments 2017

A conference on the mobile ecosystem in India

Supriya Srivatsa


Mobile, AI and TensorFlow Lite

Submitted Jul 2, 2017

Today we stand on the cusp of witnessing AI take over several aspects of our life. Google struck a chord when it announced at I/O that it was marking a shift from Mobile-first to AI-first. TensorFlow Lite allows for in device machine learning, without having to hit a remote server over the Internet each time. In this crisp talk, I will be speaking about the convergence of mobile and AI, and how TensorFlow Lite can be leveraged for the same.


Draft Outline:

  1. The convergence of Mobile and AI
    * Touch upon AI - past, present and future.
    * Why mix up Mobile and AI
  2. A little Background
    * A high-level overview of what neural networks are; what deep learning is.
    * How traditional machine learning with mobile works (Remote servers, hit an API)
  3. What is TensorFlow
    * What, why, how.
  4. What is TensorFlow Lite
    * How does it work behind the scenes.
    * Deep learning is compute intensive. How does Tensorflow Lite target mobile phones?
    * Packaging model within the app; the different ways of packaging app and model.
  5. Getting Started with TensorFlow Lite
    * Requirements
    * Configuration
  6. Applications and Scope of TensorFlow Lite
    * Look at some current applications
    * What Tensorflow Lite can help you achieve

Speaker bio

I am Supriya Srivatsa; I recently graduated from Amrita Vishwa Vidyapeetham and currently work at Xome as a software engineer - mobile. I love exploring and tinkering with new technology and have been deeply immersed in android app development lately. I have a keen interest in machine learning and also love participating in hackathons, breathing life into ideas to create a tangible product.


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