An Overview of TensorFlow Mechanics and Future of AI
Below are the videos from the TensorFlow Wachington DC meetup—sponsored and organized by Altoros on March 9, 2016.
In her session, Saba Shah of FAM Global talked about TensorFlow features, mechanics, and basic usage, overviewed TensorBoard as a means of visualizing learning, highlighted what the tool brings to the table and how it’s going to evolve in the future, etc.
In the following video, Saba breaks down the basics of TensorFlow and goes into the differences between TensorFlow code and that of regular programming platforms.
At the end of the meetup, Alexander Boxer of Areté Associates, Jim Burke of TASC, and Saba Shah discussed what bottlenecks prevent us from accelerating app development by 10 times and how to get people motivated to solve them, how machine learning can be applied in healthcare, as well as answered some questions from the audience.
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- Visualizing TensorFlow Graphs with TensorBoard
- TensorFlow in Action: TensorBoard, Training a Model, and Deep Q-learning
- Deep Learning in Healthcare, Finance, and IIoT: TensorFlow Use Cases
About the speakers