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Checking in on TensorFlow 2.0: Keras, API cleanup, and more

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TensorFlow World, October 28-31, 2019, in Santa Clara, California, is the best place to learn all about TensorFlow 2.0. With the recent release of TensorFlow 2.0 and TensorFlow World coming soon, we talked to Paige Bailey, TensorFlow product manager at Google, to learn how TensorFlow has evolved and where it and machine learning (ML) are heading. She also gave us a rundown on notable updates in TensorFlow 2.0. TensorFlow was open sourced by Google in 2015 to improve the speed, scalability, and usability for machine learning researchers who were interested in prototyping algorithms in Python rather than C . Get a free trial today and find answers on the fly, or master something new and useful.


Highlights from TensorFlow World in Santa Clara, California 2019

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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. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Get a free trial today and find answers on the fly, or master something new and useful. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.


Get KDnuggets Pass to Strata Data or TensorFlow World

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As a media partner for O'Reilly, KDnuggets is pleased to offer our readers a chance to win a 2-day Bronze Conference pass to either To enter(*), just email by Sep 8, 2019 with a subject either "Strata Data Pass" or "Tensorflow Pass" to editor1 at kdnuggets dot com and give your opinion on The winner will be notified by Sep 10, 2019. Please enter only if you are actually able to attend the conference, and note that you will be responsible for your own travel, hotel, and other expenses. Here is more information about each conference. At the O'Reilly Strata Data Conference, learn how data is driving innovation and transforming business. You'll see the top minds in technology from leading companies like Airbnb, Google, WeWork, and Uber discuss the latest developments in machine learning, data engineering, real-time applications, data governance and strategy, and much more.