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

Lessons from My First Two Years of AI Research

Lessons from My First Two Years of AI Research

A friend of mine who is about to start a career in artificial intelligence research recently asked what I wish I had known when I started two years ago. Below are some lessons I have learned so far. They range from general life lessons to relatively specific tricks of the AI trade.

Read More
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