TensorFlow 2.0 is all about ease of use, and there has never been a better time to get started.

In this talk, learn about model-building styles for beginners and experts, including the Sequential, Functional, and Subclassing APIs.

We will share complete, end-to-end code examples in each style, covering topics from “Hello World” all the way up to advanced examples. At the end, we will point you to educational resources you can use to learn more.

Presented by: Josh Gordon

View the website → https://goo.gle/36smBfW

O’Reilly and TensorFlow teamed up to present the first TensorFlow World last week.

It brought together the growing TensorFlow community to learn from each other and explore new ideas, techniques, and approaches in deep and machine learning.

Presenters in the keynote:

  • Jeff Dean, Google
  • Megan Kacholia, Google
  • Frederick Reiss, IBM
  • Theodore Summe, Twitter
  • Craig Wiley, Google
  • Kemal El Moujahid, Google

O’Reilly has a a great round up post from the first ever TensorFlow World conference that took place earlier this week.

People from across the TensorFlow community came together in Santa Clara, California for TensorFlow World . Below you’ll find links to highlights from the event. TensorFlow World 2019 opening keynote Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Accelerating ML at Twitter Theodore Summe offers a […]

Alison McCauley gives a very thought provoking presentation at OSCON. Can blockchain really be this good for humanity?

In a world of increasingly complex challenges, the accelerated innovation of open source development is more urgent than ever. But nobody knows if it’s enough. Join Alison McCauley to learn how blockchain technology offers new tools that could help extend the ethos of open innovation into new areas.

Here’s a great book review for a new O’Reilly title, “Hands-On Unsupervised Learning Using Python.” Looks like I will need to add another book to my 2019 reading list. The good news is that, today, I completed book 17 for 2019.

While I wait for my copy to arrive, you can read this review:

With a subtitle of “How to Build Applied Machine Learning Solutions from Unlabeled Data”, this book shows how unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides […]