UPDATED FOR 2019! Learn Machine Learning & Deep Learning with us: TWiML x Fast.ai Study Group

On Saturday, February 2nd we’re launching our 3rd cohort of deep learning learners through the Fast.ai Practical Deep Learning for Coders Part 1 course. This study group will meet weekly on Saturdays at 9 am Pacific Time for seven weeks, each week covering a new lesson from the course. We love this course for its ability to have participants building world-class deep learning models right out of the gate, without getting bogged down in theory.

This week on the podcast, we’re happy to bring you PyDataSci, a series of shows highlighting a few of the great innovators and innovations that are happening at the intersection of three very important and familiar topics: Data Science, the Python programming language, and Open Source Software. While you’re here, take a moment to complete […]

Bits & Bytes Google releases MorphNet as open source. Detailed in a paper released last year, MorphNet takes an existing neural network as input and produces a new neural network that is smaller, faster and yields better performance tailored to a new problem. A new open source TensorFlow implementation is now available. Facebook research creates controllable game characters from videos. The Vid2Game […]

A few weeks ago, I had the pleasure of being on site for O’Reilly’s AI Conference in New York, and speaking with some of the great speakers. You’ll hear from some of these folks this week, in our AI conference New York series. I’d like to send a huge thanks to our friends at HPE […]

A few weeks ago I had the opportunity to spend some time at the Strata Data Conference, presented by O’Reilly and Cloudera, in San Francisco. This week on the podcast, you’ll hear a few conversations from some of the great speakers from the event. I want to send a quick thanks to our friends at […]