Skip to content
TensorFlow with Eli Bixby episode artwork

EPISODE · Jun 22, 2016 · 31 MIN

TensorFlow with Eli Bixby

from Google Cloud Platform Podcast

Eli Bixby, Developer Programs Engineer at Google, tells your cohosts Francesc and Mark all about TensorFlow and its applications. Do you want to know what neural networks are? Why does TensorFlow exists? How to get started with it? We cover that and more in our thirsty first episode. About Eli Eli is a Developer Programs Engineer at Google. He joined in 2014 and currently develops on Google Cloud Platform's machine learning and big data offerings, Tensorflow in particular. Eli is an all-purpose nerd, having dabbled in several research areas, including biophysics, algorithmic game theory, and computational biology, before a recent dive into machine learning. Cool thing of the week New Google Cloud Platform Education Grants offer free credits to students announcement Interview TensorFlow homepage Artificial Neural Network wikipedia Tensors wikipedia Google supercharges machine learning tasks with TPU custom chip blog TensorFlow Serving GitHub Diving into Machine Learning through TensorFlow - PyCon 2016 video TensorFlow workshop materials GitHub TensorFlow tutorials docs Generative Adversarial Networks research paper DCGAN in Tensorflow GitHub Question of the week Offline Media Import to Google Cloud Storage docs Google Cloud Interconnect docs

Episode metadata supplied by the publisher feed · Published Jun 22, 2016

Embed this episode

Ready to play

TensorFlow with Eli Bixby

0:00 31:45

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.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Google Cloud Platform Podcast?

This episode is 31 minutes long.

When was this Google Cloud Platform Podcast episode published?

This episode was published on June 22, 2016.

Can I download this Google Cloud Platform Podcast episode?

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