TensorFlow Lite is an evolution of TensorFlow Mobile that aims for smaller binary size and better performance. TensorFlow is an open source library for numerical computation using data flow graphs, where nodes represent operations and graph edges represent multidimensional data arrays communicated between nodes. This flexible architecture allows deploying computation to CPUs or GPUs in desktops, servers, or mobile devices with a single API. The Codelab discusses using TensorFlow for image classification and optimizing models for mobile before deploying in a mobile app. It also describes a microservice for retraining existing models by uploading images to classify a specific object and returning a trained model to load into an app.

1. TENSORFLOW MOBILE
TensorFlow Lite is an evolution of TensorFlow Mobile
with goals of
• smaller binary size
• better performance
TensorFlow™ is an open source software
library for numerical computation using data
flow graphs. Nodes in the graph represent
mathematical operations, while the graph
edges represent the multidimensional data
arrays (tensors) communicated between them.
The flexible architecture allows you to deploy
computation to one or more CPUs or GPUs in a
desktop, server, or mobile device with a single
API.

2. TENSORFLOW FOR POETS
https://codelabs.developers.google.com/codelabs/tensorflow-
for-poets/#0
• Quick Retrain existing ImageNet or Mobilenet model
• Optimize the Model for Mobile
• Deploy in a Mobile App
Discuss Uses of AI in your Pocket

3. TENSORFLOW RETRIAN
MICROSERVICE
Point and shoot classification
Stream, upload a video or set of images with object you want
trained
The service will return a loadable trained model
Load the model into your app
Uses Cases:
Product Support
Education
Gaming - Scavenger Hunt
Augmented Vision