Introduction to Skflow and TensorFlow
Below are the videos from the TensorFlow Chicago meetup—sponsored and organized by Altoros on March 1, 2016.
In his session, Ramani Natarajan introduced the audience to TensorFlow, highlighting its major features and explaining what the tool can be used for. He also mentioned some tensor and data flow graph concepts, providing an example of how tensors can be applied in modeling.
Introduction to Skflow
Yuan Tung, Data Scientist at Uptake, provided an overview of Scikit Flow—a simplified TensorFlow interface for deep learning that allows for getting started with predictive analysis and data mining. This presentation focuses on Scikit Flow’s key features, modeling techniques, GPU and session configuration, visualizations, etc.
At the end of the meetup, Ramani Natarajan of Slalom and Yuan Tang of Uptake discussed:
- Why contributing to TensorFlow?
- Where do you see the opportunities for TensorFlow as a project?
- What will it take for large organizations to apply TensorFlow to real-world problems?
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