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.

Bits & Bytes Microsoft open sources Bing vector search. The company published its vector search toolkit,  Space Partition Tree and Graph (SPTAG) [Github], which provides tools for building, searching and serving large scale vector indexes. Intel makes progress toward optical neural networks. A new article on the Intel AI blog (which opens with a reference to TWIML Talk #267 […]

Over the next few weeks on the podcast, we’re bringing you volume 2 of our AI Platforms series. You’ll recall that last fall we brought you AI Platforms Volume 1, featuring conversations with platform builders from Facebook, Airbnb, LinkedIn, Open AI, Shell and Comcast. This series turned out to be our most popular series of […]

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 […]