Cross Section and Deep Dive into TensorFlow.

Agenda:

5:30 - Doors open
5:45 - Networking & Pizza. Meet the members.
6:45 - Welcome. Members to share topics of interests for future meetings.

6.55 - Lightning talk "Friends of eBay and deep learning startups" by Julia Neznanova

7:00 - Talk #1: Overview of Tensorflow

7:30 - Fireside chat with Q&A with Rafal Jozefowicz, Keith Davis and Brandon Johnson

7:45 - Talk #2: The Hitchhiker's Guide to TensorFlow: Beyond LSTMs and Visualized Learning

8:15 - Q&A break & wrap-up.

Talk #1: Overview of Tensorflow

• What is Tensorflow, really?

• What does TensorFlow bring to the table

• TensorBoard: Visualizing Learning

• TensorFlow Mechanics

• Likely scenarios for evolution of TensorFlow

• The new world ahead - places you've never been before where TensorFlow may take you today and tomorrow

Speaker: Rafal Jozefowicz, Researcher @ Google Brain

Rafal is a researcher at Google Brain in New York and working on NLP problems using neural networks.

Fireside chat with Q&A with Rafal Jozefowicz, Keith Davis and Brandon Johnson

Talk #2: The Hitchhiker's Guide to TensorFlow: Beyond LSTMs and Visualized Learning

• A brief overview of TensorFlow, Neural Networks, and TensorBoard.

• Implementing RNNs and LSTMs in TensorFlow

• Image recognition, word2vector, reinforcement learning, and Kohonen maps.

Speaker: Keith Davis, Data Scientist and Systems Analyst @ Metro-North Railroad

Keith is a Data Scientist at Metro-North and graduate from Rensselaer Polytechnic Institute (RPI). Keith was first exposed to predictive modeling and machine learning at RPI while studying traffic flow patterns.

Brandon Johnson, Software Engineer | Researcher

• World Quant Challenge Particpant
• EFX Fellow
• Undergraduate Student from New York University