Goal: Help attendees use TensorFlow more effectively
These are topics that have been presented on at the TF meetups around the world.
- Deep Learning Using TensorFlow and TensorFlow-Slim
- Teaching Recurrent Neural Networks Using TensorFlow
- Introduction to Neural Networks in TensorFlow
I'm good at pattern talks. I have some insight into patterns that developers ought to use when writing TensorFlow scripts.
This could emerge as a style guide that's published - and used to draw attention to standards.
Misc notes:
- Cover prepare conventions (downloading)
- Use of flags
- Don't use notebooks and why - if you're linear, if you're non-linear
- Patterns used by Keras and TFLearn!!
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
Don't miss this unique presentation that combines software engineering disciplines with traditional machine learning workflow in TensorFlow!
TensorFlow is a flexible, general purpose computational library that's used to implement a wide range of machine learning models. TensorFlow is perhaps best known for its support for deep neural networks. In this talk, Garrett Smith, founder of Guild AI, will provide a brief introduction to deep learning using coding examples from TensorFlow.
Garrett will cover:
- Basics of deep learning and neural networks
- Creating models with TensorFlow
- Training with TensorFlow
- Testing and evaluating model performance
- Running trained models in production
If you're new to deep learning or TensorFlow, this talk will give you a high level understand of both topics and how you can apply them practically. If you're already experienced with TensorFlow, Garrett will cover many topics that aren't typically covered in introductory material including developer workflow and TensorFlow production issues.
Garrett Smith is founder of Guild AI, an open source toolkit that helps developers gain insight into their TensorFlow experiments. Garrett has over twenty years of software development experience and has managed teams across a wide range of product development efforts. His has expertise in building reliable, distributed back-end systems and in operations. Prior to founding Guild AI, Garrett led CloudBees PaaS division, which hosted hundreds of thousands of Java applications at scale. Garrett is a frequent instructor and speaker at software conferences and an active member of the Erlang community, maintaining several prominent open source projects.