Deep Learning 101


The deadline to register and pay online is:

2 pm T 9/12


There is a cover charge for this event.

A "YES" RSVP on our meetup site does not confirm your reservation.

Space is limited. Please only RSVP "Yes" if you will be attending.

Take advantage of early responder pricing!

Slots are limited. First come, first served!

First Responders $9 plus Eventbrite fees

Second Responders $13 plus Eventbrite fees

Third Responders $17 plus Eventbrite fees

Fourth Responders $20 plus Eventbrite fees

In order to attend, you must register and pay here:

Please bring your printed ticket to the event.

Or, pay $25 (cash) at the door.

The speaker will provide a primer on deep learning for both technical and non-technical entrepreneurs. The following topics will be covered:

1) What is deep learning?

2) What is deep learning capable of and what are the limits of deep learning in terms of technological advancement?

3) How is deep learning related to machine learning and artificial intelligence?

4) How did deep learning originate and progress to it's present state?

5) How does deep learning work?

6) How can deep learning lead to the automation of intellectual and non-intellectual tasks and processes?

7) What are some barriers to entry for deep learning entrepreneurs and how can these barriers to entry be overcome?

and more!

Please come with your questions and comments.


6:30 pm to 7:00 pm Check In, Food, Networking

7:00 pm to 8:30 pm Presentation, Q & A

8:30 pm to 9:00 pm More Networking

About the Speaker

Alex Tsyplikhin, PhD, has been working in the area of data science for fifteen years, building consumer and enterprise products. Alex is currently the COO of Data Monsters, a machine intelligence and data engineering consulting and implementation company. Data Monsters is a preferred deep learning partner of NVIDIA, honored to work with Intel and Cisco (see (

Alex holds a PhD in Speech Biometrics from MIPT and is passionate about using data to build great products.

If you have questions about the content of this presentation, email Alex at:


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