TENSORFLOW
SHANE CALHOUN
WHAT IS TENSORFLOW
• Purpose: Machine Learning & deep neural networks research
• Open Source (By Google)
• Numerical Computation using data flow graphs
• Nodes = Mathematical Operations
• Data Edges = Multi-Dimensional Arrays
(Tensor)
HOW TENSORFLOW IS USED TODAY
• Understanding TensorFlow
WHY OPEN-SOURCE?
• The Future
• True AI: Data > Software
RELATED TECHNOLOGY/ COMPETITORS
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
SOURCES
• http://www.investopedia.com/articles/investing/110915/2-problemsgoogles-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-showsais-future-is-data-not-code/