Deep Dive into TensorFlow #3
Details
WAITLIST ONLY
Please register HERE (http://paas.ly/2jnNR7b)
Many thanks to PayScale (http://payscale.com/) for hosting and sponsoring the Tensorflow meetup!
Details: Please enter on Occidental side of building, which is the side that faces Centurylink stadium. (Google maps will point you towards 1st ave side of building)
Parking Information: century link parking garage ($8) or the North Lot next to Century link ($13).
Agenda:
6:30 - Doors open. Networking. Pizza and beer
7:00 - Software Patterns in TensorFlow by Garrett Smith
7:45 - Q&A break
7:50 - Extracting information from text with recurrent neural networks and Keras by Mike Stark
8:30 - Q&A break
8:40 - Wrap-up.
DETAILED AGENDA:
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Software Patterns in TensorFlow
TensorFlow is a flexible, general purpose computational library that's used to implement a wide range of machine learning models. Its flexibility however presents a challenge: how do teams discover and apply effective software patterns in their projects? In this presentation, Garrett Smith, founder of Guild AI, will share his experience working with dozens of TensorFlow projects and discuss patterns that work well and those that don't when writing TensorFlow code.
Garrett will cover:
- Project structure
- Variable naming conventions
- Canonical functions and workflow
- Parameterization using flags
- Logging and retraining experiment results
- Conventions for serving trained models
- Lessons from TFLearn and Keras
