Post Profile

Train in TensorFlow and deploy in Core ML with Tools 0.7

Apple has updated Core ML Tools to version 0.7. Included is a new TensorFlow converter that lets developers train machine learning models in Google's TensorFlow and deploy them with Apple's Core ML From the Google Developers Blog: Today, in collaboration with Apple, we are happy to announce support for Core ML! With this announcement, iOS developers can leverage the strengths of Core ML for deploying TensorFlow models.
read more


Related Posts

Google Drive for iOS now lets you open and save files using other apps, gets Touch ID and video downloading

Technology : Venture Beat

Google today updated its Google Drive app for iOS with three new features. You can download the new version now directly from Apple’s App Store. More to follow Mobile developer or publisher? VentureBeat is studying mobile marketing ...

Google brings Mobile Backend Starter, its one-click deployable cloud backend for Android, to iOS

Technology : The Next Web Blog

Google today launched Mobile Backend Starter for iOS, simplifying server-side development for app developers on Apple’s mobile platform. Mobile Backend Starter is a Google App Engine application, meaning it lets... Keep reading ?

Google is giving a cluster of 1,000 Cloud TPUs to researchers for free

Technology : TechCrunch: Enterprise

At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for free. The TensorFlow Research Cloud program, as it will be called, will be appl...

AI Weekly: Apple and Google are making smartphones smarter

Technology : Venture Beat

It’s happening again. Smartphones are getting smarter. At WWDC this week Apple announced Core ML, a programming framework for app developers seeking to run machine learning models on iPhones and other devices. Think of this as AI on...

Google brings Core ML support to TensorFlow Lite

Technology : Venture Beat

Google today released a tool that converts AI models produced for mobile devices using its TensorFlow Lite tool into Apple’s Core ML.mlmodel file format for use with iOS devices. The converter was made in collaboration with Apple, a...


Copyright © 2016 Regator, LLC