Skip to content
TensorFlow with Rajat Monga episode artwork

EPISODE · Dec 2, 2020 · 29 MIN

TensorFlow with Rajat Monga

from Contributor · host Eric Anderson

Eric Anderson (@ericmander) is joined by Rajat Monga (@rajatmonga), a co-creator of TensorFlow. Originally developed by the Google Brain team, TensorFlow is now one of the most popular open-source libraries for machine learning. The team at TensorFlow seek to “democratize” the world of AI as we know it, and by all accounts, they are succeeding. Listen to today’s episode to get inside one of the largest and most exciting open-source projects of the decade. In this episode we discuss: How TensorFlow compares to other open-source projects at Google Taking bets on launch day numbers Balancing the demands of different kinds of TensorFlow users Lessons from Keras and PyTorch Links: TensorFlow Keras PyTorch Kafka Kubernetes MapReduce: Simplified Data Processing on Large Clusters Bigtable: A Distributed Storage System for Structured Data People mentioned: Jeff Dean (@JeffDean) Andrew Ng (@AndrewYNg) François Chollet (@fchollet)

Episode metadata supplied by the publisher feed · Published Dec 2, 2020

Embed this episode

Ready to play

TensorFlow with Rajat Monga

0:00 29:40

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

Frequently Asked Questions

How long is this episode of Contributor?

This episode is 29 minutes long.

When was this Contributor episode published?

This episode was published on December 2, 2020.

Can I download this Contributor episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!