1.TENSORFLOW SHANE CALHOUN 

2.WHAT IS TENSORFLOW • Purpose: Machine Learning & deep neural networks research • Open Source (By Google) • Numerical Computation using data flow graphs 

3.• Nodes = Mathematical Operations • Data Edges = Multi-Dimensional Arrays (Tensor) 

4.HOW TENSORFLOW IS USED TODAY • Understanding TensorFlow 

5.WHY OPEN-SOURCE? • The Future • True AI: Data > Software 

6.RELATED TECHNOLOGY/ COMPETITORS 

7.DRAWBACKS OF BEING OPEN SOURCE • Wide, varied data sets = wider misuse of incorrect data patterns • Who owns the data? No clarification = google holds accountability • Open Ecosystem = higher risk of hardware issues • Competition has closed ecosystems 

8.SOURCES • http:// www.investopedia.com/articles/investing/110915/2-problems-googles -open-source-tensorflow-plan.asp • http://www.wired.com/2015/11/tensorflow-alone-will-not-revolutionize -ai / • http://www.tensorflow.org/ • http://www.wired.com/2015/11/google-open-sourcing-tensorflow-shows -ais-future-is-data-not-code