Swift for TensorFlow Design Overview

Swift for TensorFlow Design Overview

  • April 27, 2018
Table of Contents

Swift for TensorFlow Design Overview

Swift for TensorFlow provides a new programming model for TensorFlow – one that combines the performance of graphs with the flexibility and expressivity of Eager execution, while keeping a strong focus on improved usability at every level of the stack. In order to achieve our goals, we scope in the possibility of making (carefully considered) compiler and language enhancements, which enables us to provide a great user experience.

Source: github.com

Share :
comments powered by Disqus

Related Posts

New A.I. application can write its own code

New A.I. application can write its own code

Designing applications that can program computers is a long-sought grail of the branch of computer science called artificial intelligence (AI). The new application, called Bayou, came out of an initiative aimed at extracting knowledge from online source code repositories like GitHub. Users can try it out at askbayou.com.

Read More
United Kingdom Plans $1.3 Billion Artificial Intelligence Push

United Kingdom Plans $1.3 Billion Artificial Intelligence Push

The U.K. government said Thursday that part of its multi-year AI investment–about £300 million, or more than $400 million–would come from U.K.-based corporations and investment firms and those located outside the country.

Read More
CIA plans to replace spies with AI

CIA plans to replace spies with AI

Human spies will soon be relics of the past, and the CIA knows it. Dawn Meyerriecks, the Agency’s deputy director for technology development, recently told an audience at an intelligence conference in Florida the CIA was adapting to a new landscape where its primary adversary is a machine, not a foreign agent.

Read More