This repository contains materials for a hands-on TensorFlow workshop presented at the PyData Denver meetup in January 2018.
The meetup drew record RSVPs and was moved to a larger space at Galvanize Platte due to demand.
You can also find the original meetup event details here: TensorFlow presentation.
The session was aimed at Python practitioners interested in learning how to use TensorFlow for practical machine learning examples, with attendees encouraged to follow along live on their laptops.
The talk began with a brief introduction to TensorFlow and a comparison with Theano, Keras, and PyTorch, then moved from core concepts into a live demo building multiple models.
Attendees were strongly encouraged to bring laptops and complete setup before the meetup: clone this repository, install TensorFlow and Python 3, and verify the notebook runs at least the first two cells.
Content focused on introductory TensorFlow usage, framework comparisons, and demo implementations of linear regression and a standard feed-forward neural network.
The event saw roughly 30% more RSVPs than prior PyData Denver meetups, prompting a venue change from the basement to the 4th floor atrium and resulting in a highly engaged, interactive session.
This repository is preserved as historical workshop material from the TensorFlow 1.x era.