The TensorFlow team has been on a journey to make the training, deployment, managing, and scaling of machine learning Machine Learning models as easy as possible.

TensorFlow 2.0 provides a comprehensive ecosystem of tools for developers, enterprises, and researchers who want to push the state-of-the-art machine learning and build scalable ML-powered applications.

This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.


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Coding TensorFlow → https://goo.gle/2Y43cN4

Learn what’s new in the IoT in Action events (aka.ms/iotshow/iotinactionevents) by joining Analisa Roberts, Director of Global IoT Marketing, and Sarah Maston, IoT Solution Architect.

The series will be kicking off in Santa Clara on October 10, and continuing in over 30 cities world-wide! IoT in Action is your chance to build new experiences and drive rapid innovation in your business with the intelligent edge – together with Microsoft and their IoT Partner ecosystem. Register today and leverage this unique opportunity to connect with customers and partners from across the IoT ecosystem.

Lex Fridman interviews Peter Norvig.

Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers.

EPISODE LINKS:

OUTLINE:

  • 0:00 – Introduction
  • 0:37 – Artificial Intelligence: A Modern Approach
  • 9:11 – Covering the entire field of AI
  • 15:42 – Expert systems and knowledge representation
  • 18:31 – Explainable AI
  • 23:15 – Trust
  • 25:47 – Education – Intro to AI – MOOC
  • 32:43 – Learning to program in 10 years
  • 37:12 – Changing nature of mastery
  • 40:01 – Code review
  • 41:17 – How have you changed as a programmer
  • 43:05 – LISP
  • 47:41 – Python
  • 48:32 – Early days of Google Search
  • 53:24 – What does it take to build human-level intelligence
  • 55:14 – Her
  • 57:00 – Test of intelligence
  • 58:41 – Future threats from AI
  • 1:00:58 – Exciting open problems in AI

Siraj Raval explores generative modeling technology.

This innovation is changing the face of the Internet as you read this. It’s now possible to design automated systems that can write novels, act as talking heads in videos, and compose music.

In this episode, Siraj explains how generative modeling works by demoing 3 examples that you can try yourself in your web browser.