Visualizing Deep Learning with Tensorboard & PyTorch and Self Programming AI

This event is co-sponsored by DataPhilly and PhillyPUG (Python Users Group). Please RSVP to only one of the meetup groups.

Event Schedule:

1. Meeting opens at 5:45pm
2. Introductions (Starts at 6pm)
3. Speaker Event -1
   Topic: Visualizing Deep Learning with Tensorboard & PyTorch
   Speaker: Joe Papa
4. Speaker Event -2
   Topic: Self Programming Artificial Intelligence
   Speaker: Kory Becker
5. Networking Event (30 minutes)
   Hang around for an online networking event after the speaker event.

Speaker Event - 1

Visualizing Deep Learning with Tensorboard & PyTorch
Tensorboard is a powerful visualization toolkit for deep learning research and development. Its visualization capabilities, once reserved for Tensorflow, are now natively supported by PyTorch. In this presentation, you'll learn how to use Tensorboard with PyTorch to develop and visualize deep learning models.

Speaker Bio:
Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.

Speaker Event - 2

Self-Programming Artificial Intelligence
https://arxiv.org/abs/1709.05703

Is it possible for a computer program to write its own programs? While this kind of idea could seem far-fetched, it may actually be closer than we think. This presentation introduces "AI Programmer", a machine learning system, which can automatically generate full software programs requiring only minimal human guidance. The system uses genetic algorithms coupled with a tightly constrained programming language. We’ll cover an overview of the system design and see examples of its software-generation capabilities.

Speaker Bio:
Kory Becker is a Senior Software Engineer for Bloomberg LP. With a background in artificial intelligence and machine learning, she is the author of “Building Voice-Enabled Apps with Alexa” (2017 Bleeding Edge Press), and creator of AI Programmer, a system that can generate software programs with minimal human guidance. She has developed award-winning software products that have been featured prominently in publications like PC Magazine, PC World, USA Today, Consumer Reports, and Apple iTunes. Her research has been referenced by leading sources, including Google Brain. You can find her articles at http://www.primaryobjects.com. She is active on social media (https://twitter.com/primaryobjects) and on GitHub (https://github.com/primaryobjects).

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